Zhang-Suen thinning algorithm: Difference between revisions
(Add Haskell - Zhang-Suen Thinning Algorithm) |
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### ### </pre> |
### ### </pre> |
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=={{header|Lua}}== |
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<lang lua>function zhangSuenThin(img) |
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local dirs={ |
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{ 0,-1}, |
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{ 1,-1}, |
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{ 1, 0}, |
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{ 1, 1}, |
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{ 0, 1}, |
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{-1, 1}, |
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{-1, 0}, |
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{-1,-1}, |
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{ 0,-1}, |
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} |
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local black=1 |
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local white=0 |
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function A(x, y) |
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local c=0 |
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local current=img[y+dirs[1][2]][x+dirs[1][1]] |
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for i=2,#dirs do |
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local to_compare=img[y+dirs[i][2]][x+dirs[i][1]] |
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if current==white and to_compare==black then |
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c=c+1 |
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end |
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current=to_compare |
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end |
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return c |
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end |
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function B(x, y) |
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local c=0 |
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for i=2,#dirs do |
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local value=img[y+dirs[i][2]][x+dirs[i][1]] |
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if value==black then |
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c=c+1 |
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end |
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end |
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return c |
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end |
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function common_step(x, y) |
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if img[y][x]~=black or x<=1 or x>=#img[y] or y<=1 or y>=#img then |
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return false |
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end |
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local b_value=B(x, y) |
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if b_value<2 or b_value>6 then |
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return false |
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end |
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local a_value=A(x, y) |
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if a_value~=1 then |
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return false |
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end |
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return true |
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end |
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function step_one(x, y) |
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if not common_step(x, y) then |
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return false |
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end |
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local p2=img[y+dirs[1][2]][x+dirs[1][1]] |
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local p4=img[y+dirs[3][2]][x+dirs[3][1]] |
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local p6=img[y+dirs[5][2]][x+dirs[5][1]] |
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local p8=img[y+dirs[7][2]][x+dirs[7][1]] |
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if p4==white or p6==white or p2==white and p8==white then |
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return true |
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end |
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return false |
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end |
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function step_two(x, y) |
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if not common_step(x, y) then |
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return false |
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end |
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local p2=img[y+dirs[1][2]][x+dirs[1][1]] |
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local p4=img[y+dirs[3][2]][x+dirs[3][1]] |
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local p6=img[y+dirs[5][2]][x+dirs[5][1]] |
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local p8=img[y+dirs[7][2]][x+dirs[7][1]] |
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if p2==white or p8==white or p4==white and p6==white then |
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return true |
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end |
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return false |
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end |
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function convert(to_do) |
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for k,v in pairs(to_do) do |
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img[v[2]][v[1]]=white |
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end |
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end |
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function do_step_on_all(step) |
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local to_convert={} |
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for y=1,#img do |
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for x=1,#img[y] do |
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if step(x, y) then |
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table.insert(to_convert, {x,y}) |
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end |
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end |
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end |
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convert(to_convert) |
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return #to_convert>0 |
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end |
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local continue=true |
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while continue do |
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continue=false |
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if do_step_on_all(step_one) then |
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continue=true |
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end |
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if do_step_on_all(step_two) then |
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continue=true |
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end |
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end |
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for y=1,#img do |
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for x=1,#img[y] do |
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io.write(img[y][x]==black and '#' or ' ') |
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end |
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io.write('\n') |
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end |
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end |
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local image = { |
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{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}, |
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{0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0}, |
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{0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,1,0,0,1,1,1,1,0,0,0,0,0,0}, |
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{0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0}, |
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{0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0}, |
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{0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0}, |
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{0,1,1,1,0,1,1,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0}, |
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{0,1,1,1,0,0,1,1,1,1,0,0,1,1,1,0,1,1,1,1,0,0,1,1,1,1,0,1,1,1,0,0}, |
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{0,1,1,1,0,0,0,1,1,1,1,0,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,1,1,1,0,0}, |
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{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0}, |
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} |
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zhangSuenThin(image) |
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</lang> |
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Output: |
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<pre> |
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####### ###### |
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# # ## |
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# # # |
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# # # |
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##### # # |
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## # |
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# # ## ## # |
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# #### |
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</pre> |
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=={{header|Mathematica}}== |
=={{header|Mathematica}}== |
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Revision as of 21:41, 21 August 2015
You are encouraged to solve this task according to the task description, using any language you may know.
This is an algorithm used to thin a black and white i.e. one bit per pixel images.
For example, with an input image of:
################# #############
################## ################
################### ##################
######## ####### ###################
###### ####### ####### ######
###### ####### #######
################# #######
################ #######
################# #######
###### ####### #######
###### ####### #######
###### ####### ####### ######
######## ####### ###################
######## ####### ###### ################## ######
######## ####### ###### ################ ######
######## ####### ###### ############# ######
It produces the thinned output:
# ########## #######
## # #### #
# # ##
# # #
# # #
# # #
############ #
# # #
# # #
# # #
# # #
# ##
# ############
### ###
- Algorithm
Assume black pixels are one and white pixels zero, and that the input image is a rectangular N by M array of ones and zeroes.
The algorithm operates on all black pixels P1 that can have eight neighbours. The neighbours are, in order, arranged as:
| P9 | P2 | P3 |
| P8 | P1 | P4 |
| P7 | P6 | P5 |
Obviously the boundary pixels of the image cannot have the full eight neighbours.
- Define = the number of transitions from white to black, (0 -> 1) in the sequence P2,P3,P4,P5,P6,P7,P8,P9,P2. (Note the extra P2 at the end - it is circular).
- Define = The number of black pixel neighbours of P1. ( = sum(P2 .. P9) )
- Step 1
All pixels are tested and pixels satisfying all the following conditions (simultaneously) are just noted at this stage.
- (0) The pixel is black and has eight neighbours
- (1)
- (2) A(P1) = 1
- (3) At least one of P2 and P4 and P6 is white
- (4) At least one of P4 and P6 and P8 is white
After iterating over the image and collecting all the pixels satisfying all step 1 conditions, all these condition satisfying pixels are set to white.
- Step 2
All pixels are again tested and pixels satisfying all the following conditions are just noted at this stage.
- (0) The pixel is black and has eight neighbours
- (1)
- (2) A(P1) = 1
- (3) At least one of P2 and P4 and P8 is white
- (4) At least one of P2 and P6 and P8 is white
After iterating over the image and collecting all the pixels satisfying all step 2 conditions, all these condition satisfying pixels are again set to white.
- Iteration
If any pixels were set in this round of either step 1 or step 2 then all steps are repeated until no image pixels are so changed.
- Task
- Write a routine to perform Zhang-Suen thinning on an image matrix of ones and zeroes.
- Use the routine to thin the following image and show the output here on this page as either a matrix of ones and zeroes, an image, or an ASCII-art image of space/non-space characters.
00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000
- Reference
- Zhang-Suen Thinning Algorithm, Java Implementation by Nayef Reza.
- "Character Recognition Systems: A Guide for Students and Practitioners" By Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Suen
AutoHotkey
Reads input from a text file and writes output to a different text file (first creating the file, if necessary). <lang AutoHotkey>FileIn := A_ScriptDir "\Zhang-Suen.txt" FileOut := A_ScriptDir "\NewFile.txt"
if (!FileExist(FileIn)) { MsgBox, 48, File Not Found, % "File """ FileIn """ not found." ExitApp } S := {} N := [2,3,4,5,6,7,8,9,2]
Loop, Read, % FileIn { LineNum := A_Index Loop, Parse, A_LoopReadLine S[LineNum, A_Index] := A_LoopField }
Loop { FlipCount := 0 Loop, 2 { Noted := [], i := A_Index for LineNum, Line in S { for PixNum, Pix in Line { ; (0) if (Pix = 0 || (P := GetNeighbors(LineNum, PixNum, S)) = 1) continue ; (1) BP := 0 for j, Val in P BP += Val if (BP < 2 || BP > 6) continue ; (2) AP := 0 Loop, 8 if (P[N[A_Index]] = "0" && P[N[A_Index + 1]] = "1") AP++ if (AP != 1) continue ; (3 and 4) if (i = 1) { if (P[2] + P[4] + P[6] = 3 || P[4] + P[6] + P[8] = 3) continue } else if (P[2] + P[4] + P[8] = 3 || P[2] + P[6] + P[8] = 3) continue
Noted.Insert([LineNum, PixNum]) FlipCount++ } } for j, Coords in Noted S[Coords[1], Coords[2]] := 0 } if (!FlipCount) break }
for LineNum, Line in S { for PixNum, Pix in Line Out .= Pix ? "#" : " " Out .= "`n" } FileAppend, % Out, % FileOut
GetNeighbors(Y, X, S) { Neighbors := [] if ((Neighbors[8] := S[Y, X - 1]) = "") return 1 if ((Neighbors[4] := S[Y, X + 1]) = "") return 1 Loop, 3 if ((Neighbors[A_Index = 1 ? 9 : A_Index] := S[Y - 1, X - 2 + A_Index]) = "") return 1 Loop, 3 if ((Neighbors[8 - A_Index] := S[Y + 1, X - 2 + A_Index]) = "") return 1 return Neighbors }</lang> Output:
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
D
This uses the module from the Bitmap Task. And it performs no heap allocations. <lang d>import std.stdio, std.algorithm, std.string, std.functional,
std.typecons, std.typetuple, bitmap;
struct BlackWhite {
ubyte c;
alias c this;
static immutable black = typeof(this)(0),
white = typeof(this)(1);
}
alias Neighbours = BlackWhite[9]; alias Img = Image!BlackWhite;
/// Zhang-Suen thinning algorithm. Img zhangSuen(Img image1, Img image2) pure nothrow @safe @nogc in {
assert(image1.image.all!(x => x == Img.black || x == Img.white)); assert(image1.nx == image2.nx && image1.ny == image2.ny);
} out(result) {
assert(result.nx == image1.nx && result.ny == image1.ny); assert(result.image.all!(x => x == Img.black || x == Img.white));
} body {
/// True if inf <= x <= sup.
static inInterval(T)(in T x, in T inf, in T sup) pure nothrow @safe @nogc {
return x >= inf && x <= sup;
}
/// Return 8-neighbours+1 of point (x,y) of given image, in order.
static void neighbours(in Img I, in size_t x, in size_t y,
out Neighbours n) pure nothrow @safe @nogc {
n = [I[x,y-1], I[x+1,y-1], I[x+1,y], I[x+1,y+1], // P2,P3,P4,P5
I[x,y+1], I[x-1,y+1], I[x-1,y], I[x-1,y-1], // P6,P7,P8,P9
I[x,y-1]];
}
if (image1.nx < 3 || image1.ny < 3) {
image2.image[] = image1.image[];
return image2;
}
immutable static zeroOne = [0, 1]; //**
Neighbours n;
bool hasChanged;
do {
hasChanged = false;
foreach (immutable ab; TypeTuple!(tuple(2, 4), tuple(0, 6))) {
foreach (immutable y; 1 .. image1.ny - 1) {
foreach (immutable x; 1 .. image1.nx - 1) {
neighbours(image1, x, y, n);
if (image1[x, y] && // Cond. 0
(!n[ab[0]] || !n[4] || !n[6]) && // Cond. 4
(!n[0] || !n[2] || !n[ab[1]]) && // Cond. 3
//n[].count([0, 1]) == 1 &&
n[].count(zeroOne) == 1 && // Cond. 2
// n[0 .. 8].sum in iota(2, 7)) {
inInterval(n[0 .. 8].sum, 2, 6)) { // Cond. 1
hasChanged = true;
image2[x, y] = Img.black;
} else
image2[x, y] = image1[x, y];
}
}
image1.swap(image2);
}
} while (hasChanged);
return image1;
}
void main() {
immutable before_txt = " ##..### ##..### ##..### ##..### ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ######. .......";
immutable small_rc = " ................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................";
immutable rc = " ........................................................... .#################...................#############......... .##################...............################......... .###################............##################......... .########.....#######..........###################......... ...######.....#######.........#######.......######......... ...######.....#######........#######....................... ...#################.........#######....................... ...################..........#######....................... ...#################.........#######....................... ...######.....#######........#######....................... ...######.....#######........#######....................... ...######.....#######.........#######.......######......... .########.....#######..........###################......... .########.....#######.######....##################.######.. .########.....#######.######......################.######.. .########.....#######.######.........#############.######.. ...........................................................";
foreach (immutable txt; [before_txt, small_rc, rc]) {
auto img = Img.fromText(txt);
"From:".writeln;
img.textualShow(/*bl=*/ '.', /*wh=*/ '#');
"\nTo thinned:".writeln;
img.zhangSuen(img.dup).textualShow(/*bl=*/ '.', /*wh=*/ '#');
writeln;
}
}</lang>
- Output:
From: ##..### ##..### ##..### ##..### ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ##..##. ######. ....... To thinned: ##..### #.....# #.....# #...### #...#.. #...#.. #...#.. #...#.. #...#.. #...#.. #...#.. #...#.. #####.. ....... From: ................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................ To thinned: ................................ ..#######.........######........ ..#.....#........##............. ..#......#.......#.............. ..#.....#........#.............. ..#####.#........#.............. .......##........#.............. ........#....#...##....##...#... .........#.........####......... ................................ From: ........................................................... .#################...................#############......... .##################...............################......... .###################............##################......... .########.....#######..........###################......... ...######.....#######.........#######.......######......... ...######.....#######........#######....................... ...#################.........#######....................... ...################..........#######....................... ...#################.........#######....................... ...######.....#######........#######....................... ...######.....#######........#######....................... ...######.....#######.........#######.......######......... .########.....#######..........###################......... .########.....#######.######....##################.######.. .########.....#######.######......################.######.. .########.....#######.######.........#############.######.. ........................................................... To thinned: ........................................................... ........................................................... ....#.##########.......................#######............. .....##........#...................####.......#............ .....#..........#.................##....................... .....#..........#................#......................... .....#..........#................#......................... .....#..........#................#......................... .....############...............#.......................... .....#..........#...............#.......................... .....#..........#................#......................... .....#..........#................#......................... .....#..........#................#......................... .....#............................##....................... .....#.............................############............ .......................###..........................###.... ........................................................... ...........................................................
Go
<lang go>package main
import (
"bytes" "fmt" "strings"
)
var in = ` 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000`
func main() {
b := wbFromString(in, '1') b.zhangSuen() fmt.Println(b)
}
const (
white = 0 black = 1
)
type wbArray [][]byte // elements are white or black.
// parameter blk is character to read as black. otherwise kinda rigid, // expects ascii, leading newline, no trailing newline, // takes color from low bit of character. func wbFromString(s string, blk byte) wbArray {
lines := strings.Split(s, "\n")[1:]
b := make(wbArray, len(lines))
for i, sl := range lines {
bl := make([]byte, len(sl))
for j := 0; j < len(sl); j++ {
bl[j] = sl[j] & 1
}
b[i] = bl
}
return b
}
// rigid again, hard coded to output space for white, # for black, // no leading or trailing newline. var sym = [2]byte{
white: ' ', black: '#',
}
func (b wbArray) String() string {
b2 := bytes.Join(b, []byte{'\n'})
for i, b1 := range b2 {
if b1 > 1 {
continue
}
b2[i] = sym[b1]
}
return string(b2)
}
// neighbor offsets var nb = [...][2]int{
2: {-1, 0}, // p2 offsets
3: {-1, 1}, // ...
4: {0, 1},
5: {1, 1},
6: {1, 0},
7: {1, -1},
8: {0, -1},
9: {-1, -1}, // p9 offsets
}
func (b wbArray) reset(en []int) (rs bool) {
var r, c int var p [10]byte
readP := func() {
for nx := 1; nx <= 9; nx++ {
n := nb[nx]
p[nx] = b[r+n[0]][c+n[1]]
}
}
shiftRead := func() {
n := nb[3]
p[9], p[2], p[3] = p[2], p[3], b[r+n[0]][c+n[1]]
n = nb[4]
p[8], p[1], p[4] = p[1], p[4], b[r+n[0]][c+n[1]]
n = nb[5]
p[7], p[6], p[5] = p[6], p[5], b[r+n[0]][c+n[1]]
}
// returns "A", count of white->black transitions in circuit of neighbors
// of an interior pixel b[r][c]
countA := func() (ct byte) {
bit := p[9]
for nx := 2; nx <= 9; nx++ {
last := bit
bit = p[nx]
if last == white {
ct += bit
}
}
return ct
}
// returns "B", count of black pixels neighboring interior pixel b[r][c].
countB := func() (ct byte) {
for nx := 2; nx <= 9; nx++ {
ct += p[nx]
}
return ct
}
lastRow := len(b) - 1 lastCol := len(b[0]) - 1
mark := make([][]bool, lastRow)
for r = range mark {
mark[r] = make([]bool, lastCol)
}
for r = 1; r < lastRow; r++ {
c = 1
readP()
for { // column loop
m := false
// test for failure of any of the five conditions,
if !(p[1] == black) {
goto markDone
}
if b1 := countB(); !(2 <= b1 && b1 <= 6) {
goto markDone
}
if !(countA() == 1) {
goto markDone
}
{
e1, e2 := p[en[1]], p[en[2]]
if !(p[en[0]]&e1&e2 == 0) {
goto markDone
}
if !(e1&e2&p[en[3]] == 0) {
goto markDone
}
}
// no conditions failed, mark this pixel for reset
m = true
rs = true // and mark that image changes
markDone:
mark[r][c] = m
c++
if c == lastCol {
break
}
shiftRead()
}
}
if rs {
for r = 1; r < lastRow; r++ {
for c = 1; c < lastCol; c++ {
if mark[r][c] {
b[r][c] = white
}
}
}
}
return rs
}
var step1 = []int{2, 4, 6, 8} var step2 = []int{4, 2, 8, 6}
func (b wbArray) zhangSuen() {
for {
rs1 := b.reset(step1)
rs2 := b.reset(step2)
if !rs1 && !rs2 {
break
}
}
}</lang>
- Output:
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
Groovy
<lang groovy>def zhangSuen(text) {
def image = text.split('\n').collect { line -> line.collect { it == '#' ? 1 : 0} }
def p2, p3, p4, p5, p6, p7, p8, p9
def step1 = { (p2 * p4 * p6 == 0) && (p4 * p6 * p8 == 0) }
def step2 = { (p2 * p4 * p8 == 0) && (p2 * p6 * p8 == 0) }
def reduce = { step ->
def toWhite = []
image.eachWithIndex{ line, y ->
line.eachWithIndex{ pixel, x ->
if (!pixel) return
(p2, p3, p4, p5, p6, p7, p8, p9) = [image[y-1][x], image[y-1][x+1], image[y][x+1], image[y+1][x+1], image[y+1][x], image[y+1][x-1], image[y][x-1], image[y-1][x-1]]
def a = [[p2,p3],[p3,p4],[p4,p5],[p5,p6],[p6,p7],[p7,p8],[p8,p9],[p9,p2]].collect { a1, a2 -> (a1 == 0 && a2 ==1) ? 1 : 0 }.sum()
def b = [p2, p3, p4, p5, p6, p7, p8, p9].sum()
if (a != 1 || b < 2 || b > 6) return
if (step.call()) toWhite << [y,x]
}
}
toWhite.each { y, x -> image[y][x] = 0 }
!toWhite.isEmpty()
}
while (reduce(step1) | reduce(step2));
image.collect { line -> line.collect { it ? '#' : '.' }.join() }.join('\n')
}</lang> Testing: <lang groovy>def small = """\
................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................""".stripIndent()
def large = """\
........................................................... .#################...................#############......... .##################...............################......... .###################............##################......... .########.....#######..........###################......... ...######.....#######.........#######.......######......... ...######.....#######........#######....................... ...#################.........#######....................... ...################..........#######....................... ...#################.........#######....................... ...######.....#######........#######....................... ...######.....#######........#######....................... ...######.....#######.........#######.......######......... .########.....#######..........###################......... .########.....#######.######....##################.######.. .########.....#######.######......################.######.. .########.....#######.######.........#############.######.. ...........................................................""".stripIndent()
[small, large].each {
println "From:" println it println "To:" println zhangSuen(it) println()
}</lang> Output:
From: ................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................ To: ................................ ..#######.........######........ ..#.....#........##............. ..#......#.......#.............. ..#.....#........#.............. ..#####.#........#.............. .......##........#.............. ........#....#...##....##...#... .........#.........####......... ................................ From: ........................................................... .#################...................#############......... .##################...............################......... .###################............##################......... .########.....#######..........###################......... ...######.....#######.........#######.......######......... ...######.....#######........#######....................... ...#################.........#######....................... ...################..........#######....................... ...#################.........#######....................... ...######.....#######........#######....................... ...######.....#######........#######....................... ...######.....#######.........#######.......######......... .########.....#######..........###################......... .########.....#######.######....##################.######.. .########.....#######.######......################.######.. .########.....#######.######.........#############.######.. ........................................................... To: ........................................................... ........................................................... ....#.##########.......................#######............. .....##........#...................####.......#............ .....#..........#.................##....................... .....#..........#................#......................... .....#..........#................#......................... .....#..........#................#......................... .....############...............#.......................... .....#..........#...............#.......................... .....#..........#................#......................... .....#..........#................#......................... .....#..........#................#......................... .....#............................##....................... .....#.............................############............ .......................###..........................###.... ........................................................... ...........................................................
Haskell
<lang Haskell>import Data.Array import qualified Data.List as List
data BW = Black | White
deriving (Eq, Show)
type Index = (Int, Int) type BWArray = Array Index BW
toBW :: Char -> BW toBW '0' = White toBW '1' = Black toBW ' ' = White toBW '#' = Black toBW _ = error "toBW: illegal char"
toBWArray :: [String] -> BWArray toBWArray strings = arr
where
height = length strings
width = minimum $ map length strings
arr = listArray ((0, 0), (width - 1, height - 1))
. map toBW . concat . List.transpose $ map (take width) strings
toChar :: BW -> Char toChar White = ' ' toChar Black = '#'
chunksOf :: Int -> [a] -> a chunksOf _ [] = [] chunksOf n xs = take n xs : (chunksOf n $ drop n xs)
showBWArray :: BWArray -> String showBWArray arr =
List.intercalate "\n" . List.transpose . chunksOf (height + 1) . map toChar $ elems arr where (_, (_, height)) = bounds arr
add :: Num a => (a, a) -> (a, a) -> (a, a) add (a, b) (x, y) = (a + x, b + y)
within :: Ord a => ((a, a), (a, a)) -> (a, a) -> Bool within ((a, b), (c, d)) (x, y) =
a <= x && x <= c && b <= y && y <= d
p2, p3, p4, p5, p6, p7, p8, p9 :: Index p2 = ( 0, -1) p3 = ( 1, -1) p4 = ( 1, 0) p5 = ( 1, 1) p6 = ( 0, 1) p7 = (-1, 1) p8 = (-1, 0) p9 = (-1, -1)
ixamap :: Ix i => ((i, a) -> b) -> Array i a -> Array i b ixamap f a = listArray (bounds a) $ map f $ assocs a
thin :: BWArray -> BWArray thin arr =
if pass2 == arr then pass2 else thin pass2 where (low, high) = bounds arr lowB = low `add` (1, 1) highB = high `add` (-1, -1) isInner = within (lowB, highB) offs p = map (add p) [p2, p3, p4, p5, p6, p7, p8, p9] trans c (a, b) = if a == White && b == Black then c + 1 else c zipshift xs = zip xs (drop 1 xs ++ xs) transitions a = (== (1 :: Int)) . foldl trans 0 . zipshift . map (a !) . offs within2to6 n = 2 <= n && n <= 6 blacks a p = within2to6 . length . filter ((== Black) . (a !)) $ offs p oneWhite xs a p = any ((== White) . (a !) . add p) xs oneRight = oneWhite [p2, p4, p6] oneDown = oneWhite [p4, p6, p8] oneUp = oneWhite [p2, p4, p8] oneLeft = oneWhite [p2, p6, p8] precond a p = (a ! p == Black) && isInner p && blacks a p && transitions a p stage1 a p = precond a p && oneRight a p && oneDown a p stage2 a p = precond a p && oneUp a p && oneLeft a p stager f (p, d) = if f p then White else d pass1 = ixamap (stager $ stage1 arr) arr pass2 = ixamap (stager $ stage2 pass1) pass1
sampleExA :: [String] sampleExA =
["00000000000000000000000000000000" ,"01111111110000000111111110000000" ,"01110001111000001111001111000000" ,"01110000111000001110000111000000" ,"01110001111000001110000000000000" ,"01111111110000001110000000000000" ,"01110111100000001110000111000000" ,"01110011110011101111001111011100" ,"01110001111011100111111110011100" ,"00000000000000000000000000000000"]
sampleExB :: [String] sampleExB =
[" " ," ################# ############# " ," ################## ################ " ," ################### ################## " ," ######## ####### ################### " ," ###### ####### ####### ###### " ," ###### ####### ####### " ," ################# ####### " ," ################ ####### " ," ################# ####### " ," ###### ####### ####### " ," ###### ####### ####### " ," ###### ####### ####### ###### " ," ######## ####### ################### " ," ######## ####### ###### ################## ###### " ," ######## ####### ###### ################ ###### " ," ######## ####### ###### ############# ###### " ," "]
main :: IO () main = mapM_ (putStrLn . showBWArray . thin . toBWArray) [sampleExA, sampleExB]</lang>
- Output:
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
# ########## #######
## # #### #
# # ##
# # #
# # #
# # #
############ #
# # #
# # #
# # #
# # #
# ##
# ############
### ###
J
Solution: <lang j>isBlackPx=: '1'&=;._2 NB. boolean array of black pixels toImage=: [: , LF ,.~ '01' {~ ] NB. convert to original representation frameImg=: 0 ,. 0 , >:@$ {. ] NB. adds border of 0's to image
neighbrs=: adverb define NB. applies verb u to neighbourhoods
(1 1 ,: 3 3) u;._3 y
)
Bdry=: 1 2 5 8 7 6 3 0 1 NB. map pixel index to neighbour order getPx=: { , NB. get desired pixels from neighbourhood Ap1=: [: +/ 2 </\ Bdry&getPx NB. count 0->1 transitions Bp1=: [: +/ [: }. Bdry&getPx NB. count black neighbours
c11=: (2&<: *. <:&6)@Bp1 NB. step 1, condition 1 c12=: 1 = Ap1 NB. ... c13=: 0 e. 1 5 7&getPx c14=: 0 e. 5 7 3&getPx c23=: 0 e. 1 5 3&getPx NB. step2, condition 3 c24=: 0 e. 1 7 3&getPx
cond1=: c11 *. c12 *. c13 *. c14 NB. step1 conditions cond2=: c11 *. c12 *. c23 *. c24 NB. step2 conditions whiten=: [ * -.@:*. NB. make black pixels white step1=: whiten frameImg@(cond1 neighbrs) step2=: whiten frameImg@(cond2 neighbrs)
zhangSuen=: [: toImage [: step2@step1^:_ isBlackPx</lang> Alternative, explicit representation of last verb above <lang j>zhangSuenX=: verb define
img=. isBlackPx y whilst. 0 < +/ , msk1 +.&-. msk2 do. msk1=. (-.@:*. [: frameImg cond1 neighbrs) img img=. msk1 * img msk2=. (-.@:*. [: frameImg cond2 neighbrs) img img=. msk2 * img end. toImage img
)</lang> Example Use: <lang j>toASCII=: ' #' {~ '1'&=;._2 NB. convert to ASCII representation
ExampleImg=: noun define 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000 )
toASCII zhangSuen ExampleImg
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
</lang>
Java
<lang java>import java.awt.Point; import java.util.*;
public class ZhangSuen {
final static String[] image = {
" ",
" ################# ############# ",
" ################## ################ ",
" ################### ################## ",
" ######## ####### ################### ",
" ###### ####### ####### ###### ",
" ###### ####### ####### ",
" ################# ####### ",
" ################ ####### ",
" ################# ####### ",
" ###### ####### ####### ",
" ###### ####### ####### ",
" ###### ####### ####### ###### ",
" ######## ####### ################### ",
" ######## ####### ###### ################## ###### ",
" ######## ####### ###### ################ ###### ",
" ######## ####### ###### ############# ###### ",
" "};
final static int[][] nbrs = {{0, -1}, {1, -1}, {1, 0}, {1, 1}, {0, 1},
{-1, 1}, {-1, 0}, {-1, -1}, {0, -1}};
final static int[][][] nbrGroups = {{{0, 2, 4}, {2, 4, 6}}, {{0, 2, 6},
{0, 4, 6}}};
static List<Point> toWhite = new ArrayList<>(); static char[][] grid;
public static void main(String[] args) {
grid = new char[image.length][];
for (int r = 0; r < image.length; r++)
grid[r] = image[r].toCharArray();
thinImage(); }
static void thinImage() {
boolean firstStep = false;
boolean hasChanged;
do {
hasChanged = false;
firstStep = !firstStep;
for (int r = 1; r < grid.length - 1; r++) {
for (int c = 1; c < grid[0].length - 1; c++) {
if (grid[r][c] != '#')
continue;
int nn = numNeighbors(r, c);
if (nn < 2 || nn > 6)
continue;
if (numTransitions(r, c) != 1)
continue;
if (!atLeastOneIsWhite(r, c, firstStep ? 0 : 1))
continue;
toWhite.add(new Point(c, r));
hasChanged = true;
}
}
for (Point p : toWhite)
grid[p.y][p.x] = ' ';
toWhite.clear();
} while (hasChanged || firstStep);
printResult(); }
static int numNeighbors(int r, int c) {
int count = 0;
for (int i = 0; i < nbrs.length - 1; i++)
if (grid[r + nbrs[i][1]][c + nbrs[i][0]] == '#')
count++;
return count;
}
static int numTransitions(int r, int c) {
int count = 0;
for (int i = 0; i < nbrs.length - 1; i++)
if (grid[r + nbrs[i][1]][c + nbrs[i][0]] == ' ') {
if (grid[r + nbrs[i + 1][1]][c + nbrs[i + 1][0]] == '#')
count++;
}
return count;
}
static boolean atLeastOneIsWhite(int r, int c, int step) {
int count = 0;
int[][] group = nbrGroups[step];
for (int i = 0; i < 2; i++)
for (int j = 0; j < group[i].length; j++) {
int[] nbr = nbrs[group[i][j]];
if (grid[r + nbr[1]][c + nbr[0]] == ' ') {
count++;
break;
}
}
return count > 1;
}
static void printResult() {
for (char[] row : grid)
System.out.println(row);
}
}</lang>
Output:
# ########## #######
## # #### #
# # ##
# # #
# # #
# # #
############ #
# # #
# # #
# # #
# # #
# ##
# ############
### ###
Lua
<lang lua>function zhangSuenThin(img)
local dirs={
{ 0,-1},
{ 1,-1},
{ 1, 0},
{ 1, 1},
{ 0, 1},
{-1, 1},
{-1, 0},
{-1,-1},
{ 0,-1},
}
local black=1 local white=0
function A(x, y)
local c=0
local current=img[y+dirs[1][2]][x+dirs[1][1]]
for i=2,#dirs do
local to_compare=img[y+dirs[i][2]][x+dirs[i][1]]
if current==white and to_compare==black then
c=c+1
end
current=to_compare
end
return c
end
function B(x, y)
local c=0
for i=2,#dirs do
local value=img[y+dirs[i][2]][x+dirs[i][1]]
if value==black then
c=c+1
end
end
return c
end
function common_step(x, y)
if img[y][x]~=black or x<=1 or x>=#img[y] or y<=1 or y>=#img then
return false
end
local b_value=B(x, y)
if b_value<2 or b_value>6 then
return false
end
local a_value=A(x, y)
if a_value~=1 then
return false
end
return true
end
function step_one(x, y)
if not common_step(x, y) then
return false
end
local p2=img[y+dirs[1][2]][x+dirs[1][1]]
local p4=img[y+dirs[3][2]][x+dirs[3][1]]
local p6=img[y+dirs[5][2]][x+dirs[5][1]]
local p8=img[y+dirs[7][2]][x+dirs[7][1]]
if p4==white or p6==white or p2==white and p8==white then
return true
end
return false
end
function step_two(x, y)
if not common_step(x, y) then
return false
end
local p2=img[y+dirs[1][2]][x+dirs[1][1]]
local p4=img[y+dirs[3][2]][x+dirs[3][1]]
local p6=img[y+dirs[5][2]][x+dirs[5][1]]
local p8=img[y+dirs[7][2]][x+dirs[7][1]]
if p2==white or p8==white or p4==white and p6==white then
return true
end
return false
end
function convert(to_do)
for k,v in pairs(to_do) do
img[v[2]][v[1]]=white
end
end
function do_step_on_all(step)
local to_convert={}
for y=1,#img do
for x=1,#img[y] do
if step(x, y) then
table.insert(to_convert, {x,y})
end
end
end
convert(to_convert)
return #to_convert>0
end
local continue=true
while continue do
continue=false
if do_step_on_all(step_one) then
continue=true
end
if do_step_on_all(step_two) then
continue=true
end
end
for y=1,#img do
for x=1,#img[y] do
io.write(img[y][x]==black and '#' or ' ')
end
io.write('\n')
end
end
local image = {
{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0},
{0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,1,0,0,1,1,1,1,0,0,0,0,0,0},
{0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0},
{0,1,1,1,0,0,0,1,1,1,1,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0},
{0,1,1,1,0,1,1,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,0,1,1,1,0,0,0,0,0,0},
{0,1,1,1,0,0,1,1,1,1,0,0,1,1,1,0,1,1,1,1,0,0,1,1,1,1,0,1,1,1,0,0},
{0,1,1,1,0,0,0,1,1,1,1,0,1,1,1,0,0,1,1,1,1,1,1,1,1,0,0,1,1,1,0,0},
{0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0},
}
zhangSuenThin(image) </lang>
Output:
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
Mathematica
Mathematica supports directly the Thinning methods "Morphological" and "MedialAxis". The Zhang-Suen algorithm implementation could be done with: <lang Mathematica>nB[mat_] := Delete[mat // Flatten, 5] // Total;
nA[mat_] := Module[{l},
l = Flatten[mat][[{2, 3, 6, 9, 8, 7, 4, 1, 2}]];
Total[Map[If[#1 == 0 && #2 == 1, 1, 0] &,
Partition[l, 2, 1]]]
];
iW1[mat_] :=
Module[{l = Flatten[mat]},
If[Apply[Times, l[[{2, 6, 8}]]] + Apply[Times, l[[{4, 6, 8}]]] ==
0, 0, 1]];
iW2[mat_] :=
Module[{l = Flatten[mat]},
If[Apply[Times, l[[{2, 6, 4}]]] + Apply[Times, l[[{4, 2, 8}]]] ==
0, 0, 1]];
check[i_, j_, dat_, t_] := Module[{mat, d = Dimensions[dat], r, c},
r = d1; c = d2; If[i > 1 && i < r && j > 1 && j < c, mat = dati - 1 ;; i + 1, j - 1 ;; j + 1; If[dati, j == 1 && nA[mat] == 1 && 2 <= nB[mat] <= 6 && If[t == 1, iW1[mat], iW2[mat]] == 0, 0, dati, j], dati, j ]];
iter[dat_] :=
Module[{i =
Flatten[Outer[List, Range[Dimensions[dat]1],
Range[Dimensions[dat]2]], 1], tmp},
tmp = Partition[check[#1, #2, dat, 1] & /@ i,
Dimensions[dat]2];
Partition[check[#1, #2, tmp, 2] & /@ i,
Dimensions[tmp]2]];
FixedPoint[iter, dat]</lang>
Which results in: (printMat is only defined to print an text output - the natural Mathemaica way would be to use ArrayPlot function, which create a graphic object which we can't paste into this wiki)
printMat[mat_] :=
StringReplace[
Riffle[Map[StringJoin, Map[ToString, mat, {2}]], "\n"] //
StringJoin, {"1" -> "#", "0" -> "."}];
dat1 = {{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0}, {0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1,
0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 0, 0, 0, 0, 1,
1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,
0}, {0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0}, {0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0,
0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 0, 0, 1, 1, 1,
1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0,
0}, {0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1,
1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0}, {0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0}};
printMat[dat1]
printMat[FixedPoint[iter, dat1]]
................................
.#########.......########.......
.###...####.....####..####......
.###....###.....###....###......
.###...####.....###.............
.#########......###.............
.###.####.......###....###......
.###..####..###.####..####.###..
.###...####.###..########..###..
................................
................................
..#######.........######........
..#.....#........##.............
..#......#.......#..............
..#.....#........#..............
..#####.#........#..............
.......##........#..............
........#....#...##....##...#...
.........#.........####.........
................................
dat2 = {{0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,
0, 0, 0, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0,
0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 1,
1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,
1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1,
1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1,
1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0}, {0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,
0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1,
1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 0,
0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1,
1, 1, 1, 0, 0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1,
1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0,
0}, {0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1,
1, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0}, {0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}};
printMat[dat2]
printMat[FixedPoint[iter, dat2]]
...........................................................
.#################...................#############.........
.##################...............################.........
.###################............##################.........
.########.....#######..........###################.........
...######.....#######.........#######.......######.........
...######.....#######........#######.......................
...#################.........#######.......................
...################..........#######.......................
...#################.........#######.......................
...######.....#######........#######.......................
...######.....#######........#######.......................
...######.....#######.........#######.......######.........
.########.....#######..........###################.........
.########.....#######.######....##################.######..
.########.....#######.######......################.######..
.########.....#######.######.........#############.######..
...........................................................
...........................................................
...........................................................
....#.##########.......................#######.............
.....##........#...................####.......#............
.....#..........#.................##.......................
.....#..........#................#.........................
.....#..........#................#.........................
.....#..........#................#.........................
.....############...............#..........................
.....#..........#...............#..........................
.....#..........#................#.........................
.....#..........#................#.........................
.....#..........#................#.........................
.....#............................##.......................
.....#.............................############............
.......................###..........................###....
...........................................................
...........................................................
Perl 6
Takes the original image from a file that may be based on any characters whose low bits are 0 or 1 (which conveniently includes . and #). <lang perl6>constant DEBUG = 1;
my @lines = ([.ords X+& 1] for lines); # The low bits Just Work. my \v = +@lines; my \h = +@lines[0]; my @black = @lines.map: *.values; # Flatten to 1-dimensional.
my \p8 = [-h-1, -h+0, -h+1, # Flatland distances to 8 neighbors.
0-1, 0+1,
h-1, h+0, h+1].[1,2,4,7,6,5,3,0]; # (in cycle order)
- Candidates have 8 neighbors and are known black
my @cand = grep { @black[$_] }, do
for 1..v-2 X 1..h-2 -> \y,\x { y*h + x }
repeat while my @goners1 or my @goners2 {
sub seewhite (\w1,\w2) {
sub cycles (@neighbors) { [+] @neighbors Z< @neighbors[].rotate }
sub blacks (@neighbors) { [+] @neighbors }
my @prior = @cand; @cand = ();
gather for @prior -> \p {
my \n = @black[p8 X+ p];
if cycles(n) == 1 and 2 <= blacks(n) <= 6 and n[w1].any == 0 and n[w2].any == 0
{ take p }
else { @cand.push: p }
}
}
@goners1 = seewhite (0,2,4), (2,4,6);
@black[@goners1] = 0 xx *;
say "Ping: {[+] @black} remaining after removing ", @goners1 if DEBUG;
@goners2 = seewhite (0,2,6), (0,4,6);
@black[@goners2] = 0 xx *;
say "Pong: {[+] @black} remaining after removing ", @goners2 if DEBUG;
}
say @black.splice(0,h).join.trans('01' => '.#') while @black;</lang>
- Output:
Ping: 66 remaining after removing 33 41 49 56 67 71 74 80 83 86 89 99 106 114 119 120 121 131 135 138 146 169 178 195 197 210 215 217 227 230 233 236 238 240 243 246 249 251 253 257 258 259 263 264 266 268 269 270 273 274 279 280 283 284 285 Pong: 47 remaining after removing 65 73 88 97 104 112 129 137 144 161 167 176 193 198 208 216 225 226 231 Ping: 45 remaining after removing 87 194 Pong: 45 remaining after removing Ping: 45 remaining after removing Pong: 45 remaining after removing ................................ ..#######.........######........ ..#.....#........##............. ..#......#.......#.............. ..#.....#........#.............. ..#####.#........#.............. .......##........#.............. ........#....#...##....##...#... .........#.........####......... ................................
PL/I
<lang>zhang: procedure options (main); /* 8 July 2014 */
declare pic(10) bit(32) initial (
'00000000000000000000000000000000'b,
'01111111110000000111111110000000'b,
'01110001111000001111001111000000'b,
'01110000111000001110000111000000'b,
'01110001111000001110000000000000'b,
'01111111110000001110000000000000'b,
'01110111100000001110000111000000'b,
'01110011110011101111001111011100'b,
'01110001111011100111111110011100'b,
'00000000000000000000000000000000'b );
declare image (10,32) bit(1) defined pic;
declare status (10,32) fixed decimal (1);
declare changes bit(1);
declare (i, j, k, m, n) fixed binary;
m = hbound(image,1); n = hbound(image,2);
call display;
/* Pixel labelling for pixels surrounding P1, co-ordinates (i,j). */ /* P9 P2 P3 */ /* P8 P1 P4 */ /* P7 P6 P5 */
do k = 1 to 10 until (^changes);
changes = '0'b;
/* Set conditions as follows: */
/* (0) The pixel is black and has eight neighbours */
/* (1) 2 < = B(P1) < = 6 */
/* (2) A(P1) = 1 */
/* (3) At least one of P2 and P4 and P6 is white */
/* (4) At least one of P4 and P6 and P8 is white */
status = -1;
do i = 2 to m-1;
do j = 2 to n-1;
if image(i,j) then
if B(i,j) >= 2 & B(i,j) <= 6 then
if A(i,j) = 1 then
if ^image(i-1,j) | ^image(i,j+1) | ^image(i+1,j) then
if ^image(i,j+1) | ^image(i+1,j) | ^image(i,j-1) then
status(i,j) = 4;
end;
end;
/* Having determined a status for every bit in the image, */
/* change those bits to white. */
do i = 2 to m-1;
do j = 2 to n-1;
if status(i,j) ^= -1 then do; image(i,j) = '0'b; changes = '1'b; end;
end;
end;
/* Set conditions as follows: */
/* (0) The pixel is black and has eight neighbours */
/* (1) 2 < = B(P1) < = 6 */
/* (2) A(P1) = 1 */
/* (3) At least one of P2 and P4 and P8 is white */
/* (4) At least one of P2 and P6 and P8 is white */
status = -1;
do i = 2 to m-1;
do j = 2 to n-1;
if image(i,j) then
if B(i,j) >= 2 & B(i,j) <= 6 then
if A(i,j) = 1 then
if ^image(i-1,j) | ^image(i,j+1) | ^image(i,j-1) then
if ^image(i-1,j) | ^image(i+1,j) | ^image(i,j-1) then
status(i,j) = 4;
end;
end;
/* Having determined a status for every bit in the image, */
/* change those bits to white. */
do i = 2 to m-1;
do j = 2 to n-1;
if status(i,j) ^= -1 then do; image(i,j) = '0'b; changes = '1'b; end;
end;
end;
end; /* of the "until" loop */
put skip list ('Final image after ' || trim(k) || ' iterations:');
call display;
display: procedure;
declare (i, j) fixed binary; declare c character (1);
do i = 1 to m;
put skip edit ('row:', i) (A, F(3));
do j = 1 to n;
if image(i,j) then c = '.'; else c = ' ';
put edit (c) (A);
end;
end;
put skip;
end;
/* Returns the number of transitions from white to black from P2 through P9 and P2. */ A: procedure (i,j) returns (fixed binary);
declare (i,j) fixed binary nonassignable; declare n(2:10) bit(1);
n(2) = image(i-1,j); n(3) = image(i-1,j+1); n(4) = image(i, j+1); n(5) = image(i+1,j+1); n(6) = image(i+1,j); n(7) = image(i+1,j-1); n(8) = image(i,j-1); n(9) = image(i-1,j-1); n(10) = image(i-1,j); return ( tally(string(n), '01'b) );
end A;
/* Count the pixel neighbors of P1 that are black */ B: procedure (i, j) returns (fixed binary);
declare (i,j) fixed binary nonassignable; declare s fixed binary;
s = image(i-1,j-1) + image(i-1,j) + image(i-1,j+1); s = s + image(i,j-1) + image(i,j+1); return ( s + image(i+1,j-1) + image(i+1,j) + image(i+1,j+1) );
end B;
end zhang;</lang>
[Initial configuration:] row: 1 row: 2 ......... ........ row: 3 ... .... .... .... row: 4 ... ... ... ... row: 5 ... .... ... row: 6 ......... ... row: 7 ... .... ... ... row: 8 ... .... ... .... .... ... row: 9 ... .... ... ........ ... row: 10 [Intermeduiate "images" omitted] Final image after 3 iterations: row: 1 row: 2 ....... ...... row: 3 . . .. row: 4 . . . row: 5 . . . row: 6 ..... . . row: 7 .. . row: 8 . . .. .. . row: 9 . .... row: 10 Second image: Image to be thinned: row 1: row 2: ............... row 3: .................. row 4: .................. row 5: .... ..... row 6: .... ..... row 7: .... ..... row 8: .... ..... row 9: .... ...... row 10: .... ..... row 11: .... ..... row 12: .... ..... row 13: .... ..... row 14: ............. row 15: .............. row 16: ............... row 17: .... ...... row 18: .... ...... row 19: .... ..... row 20: .... ...... row 21: .... ..... row 22: .... ..... row 23: .... ...... row 24: .... ...... row 25: ................... row 26: ................... row 27: ................. row 28: Final image after 3 iterations: row 1: row 2: row 3: .............. row 4: . . row 5: . . row 6: . . row 7: . . row 8: . . row 9: . . row 10: . .. row 11: . . row 12: . . row 13: . . row 14: . . row 15: ........... row 16: . . row 17: . .. row 18: . . row 19: . . row 20: . . row 21: . . row 22: . . row 23: . . row 24: . .. row 25: . .. row 26: ... ........... row 27: row 28:
Python
Several input images are converted. <lang python># -*- coding: utf-8 -*-
- Example from this blog post.
beforeTxt = \ 1100111 1100111 1100111 1100111 1100110 1100110 1100110 1100110 1100110 1100110 1100110 1100110 1111110 0000000\
- Thanks to this site and vim for these next two examples
smallrc01 = \ 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000\
rc01 = \ 00000000000000000000000000000000000000000000000000000000000 01111111111111111100000000000000000001111111111111000000000 01111111111111111110000000000000001111111111111111000000000 01111111111111111111000000000000111111111111111111000000000 01111111100000111111100000000001111111111111111111000000000 00011111100000111111100000000011111110000000111111000000000 00011111100000111111100000000111111100000000000000000000000 00011111111111111111000000000111111100000000000000000000000 00011111111111111110000000000111111100000000000000000000000 00011111111111111111000000000111111100000000000000000000000 00011111100000111111100000000111111100000000000000000000000 00011111100000111111100000000111111100000000000000000000000 00011111100000111111100000000011111110000000111111000000000 01111111100000111111100000000001111111111111111111000000000 01111111100000111111101111110000111111111111111111011111100 01111111100000111111101111110000001111111111111111011111100 01111111100000111111101111110000000001111111111111011111100 00000000000000000000000000000000000000000000000000000000000\
def intarray(binstring):
Change a 2D matrix of 01 chars into a list of lists of ints
return [[1 if ch == '1' else 0 for ch in line]
for line in binstring.strip().split()]
def chararray(intmatrix):
Change a 2d list of lists of 1/0 ints into lines of 1/0 chars return '\n'.join(.join(str(p) for p in row) for row in intmatrix)
def toTxt(intmatrix):
Change a 2d list of lists of 1/0 ints into lines of '#' and '.' chars
return '\n'.join(.join(('#' if p else '.') for p in row) for row in intmatrix)
def neighbours(x, y, image):
Return 8-neighbours of point p1 of picture, in order
i = image
x1, y1, x_1, y_1 = x+1, y-1, x-1, y+1
#print ((x,y))
return [i[y1][x], i[y1][x1], i[y][x1], i[y_1][x1], # P2,P3,P4,P5
i[y_1][x], i[y_1][x_1], i[y][x_1], i[y1][x_1]] # P6,P7,P8,P9
def transitions(neighbours):
n = neighbours + neighbours[0:1] # P2, ... P9, P2 return sum((n1, n2) == (0, 1) for n1, n2 in zip(n, n[1:]))
def zhangSuen(image):
changing1 = changing2 = [(-1, -1)]
while changing1 or changing2:
# Step 1
changing1 = []
for y in range(1, len(image) - 1):
for x in range(1, len(image[0]) - 1):
P2,P3,P4,P5,P6,P7,P8,P9 = n = neighbours(x, y, image)
if (image[y][x] == 1 and # (Condition 0)
P4 * P6 * P8 == 0 and # Condition 4
P2 * P4 * P6 == 0 and # Condition 3
transitions(n) == 1 and # Condition 2
2 <= sum(n) <= 6): # Condition 1
changing1.append((x,y))
for x, y in changing1: image[y][x] = 0
# Step 2
changing2 = []
for y in range(1, len(image) - 1):
for x in range(1, len(image[0]) - 1):
P2,P3,P4,P5,P6,P7,P8,P9 = n = neighbours(x, y, image)
if (image[y][x] == 1 and # (Condition 0)
P2 * P6 * P8 == 0 and # Condition 4
P2 * P4 * P8 == 0 and # Condition 3
transitions(n) == 1 and # Condition 2
2 <= sum(n) <= 6): # Condition 1
changing2.append((x,y))
for x, y in changing2: image[y][x] = 0
#print changing1
#print changing2
return image
if __name__ == '__main__':
for picture in (beforeTxt, smallrc01, rc01):
image = intarray(picture)
print('\nFrom:\n%s' % toTxt(image))
after = zhangSuen(image)
print('\nTo thinned:\n%s' % toTxt(after))</lang>
- Output:
Just the example asked for in the task:
From: ................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................ To thinned: ................................ ..#######.........######........ ..#.....#........##............. ..#......#.......#.............. ..#.....#........#.............. ..#####.#........#.............. .......##........#.............. ........#....#...##....##...#... .........#.........####......... ................................
Racket
<lang racket>#lang racket (define (img-01string->vector str)
(define lines (regexp-split "\n" str))
(define h (length lines))
(define w (if (zero? h) 0 (string-length (car lines))))
(define v (for*/vector #:length (* w h)
((l (in-list lines)) (p (in-string l)))
(match p (#\0 0) (#\1 1) (#\# 1) (#\. 0))))
(values v h w))
- Task (2) asks for "or an ASCII-art image of space/non-space characters."
- Spaces don't really impress where the borders are, so we'll use a dot.
(define cell->display-char (match-lambda (0 ".") (1 "#") (else "?")))
(define (display-img v w)
(for ((p (in-vector v)) (col (in-naturals))) (printf "~a" (cell->display-char p)) (when (= (modulo col w) (sub1 w)) (newline))))
- returns vector of ([P1's idx] P1 P2 ... P9)
(define (Pns v w r c)
(define i (+ c (* r w)))
(define-syntax-rule (vi+ x) (vector-ref v (+ i x)))
(define-syntax-rule (vi- x) (vector-ref v (- i x)))
(vector i (vi+ 0) (vi- w) (vi+ (- 1 w))
(vi+ 1) (vi+ (+ w 1)) (vi+ w)
(vi+ (- w 1)) (vi- 1) (vi- (+ w 1))))
- Second argument to in-vector is the start offset;
- We skip offset 0 (idx) and 1 (P1)
(define (B Ps) (for/sum ((Pn (in-vector Ps 2))) Pn))
(define (A Ps)
(define P2 (vector-ref Ps 2))
(define-values (rv _)
(for/fold ((acc 0) (Pn-1 P2))
((Pn (in-sequences (in-vector Ps 3) (in-value P2))))
(values (+ acc (if (and (= 0 Pn-1) (= 1 Pn)) 1 0)) Pn)))
rv)
(define-syntax-rule (not-all-black? Pa Pb Pc) (zero? (* Pa Pb Pc))) (define (z-s-thin v h w)
; return idx when thin necessary, #f otherwise
(define (thin? Ps n/bour-check-1 n/bour-check-2)
(match-define (vector idx P1 P2 _ P4 _ P6 _ P8 _) Ps)
(and (= P1 1) (<= 2 (B Ps) 6) (= (A Ps) 1)
(n/bour-check-1 P2 P4 P6 P8)
(n/bour-check-2 P2 P4 P6 P8)
idx))
(define (has-white?-246 P2 P4 P6 P8) (not-all-black? P2 P4 P6))
(define (has-white?-468 P2 P4 P6 P8) (not-all-black? P4 P6 P8))
(define (has-white?-248 P2 P4 P6 P8) (not-all-black? P2 P4 P8))
(define (has-white?-268 P2 P4 P6 P8) (not-all-black? P2 P6 P8))
(define (step-n even-Pn-check-1 even-Pn-check-2)
(for*/list ((r (in-range 1 (- h 1)))
(c (in-range 1 (- w 1)))
(idx (in-value (thin? (Pns v w r c)
even-Pn-check-1
even-Pn-check-2)))
#:when idx) idx))
(define (step-1) (step-n has-white?-246 has-white?-468))
(define (step-2) (step-n has-white?-248 has-white?-268))
(define (inner-z-s-thin)
(define changed-list-1 (step-1))
(for ((idx (in-list changed-list-1))) (vector-set! v idx 0))
(define changed-list-2 (step-2))
(for ((idx (in-list changed-list-2))) (vector-set! v idx 0))
(unless (and (null? changed-list-1) (null? changed-list-2)) (inner-z-s-thin)))
(inner-z-s-thin))
(define (read-display-thin-display-image img-str)
(define-values (v h w) (img-01string->vector img-str)) (printf "Original image:~%") (display-img v w) (z-s-thin v h w) (printf "Thinned image:~%") (display-img v w))
(define e.g.-image #<<EOS 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000 EOS
)
(define e.g.-image/2 #<<EOS
- ..###
- ..###
- ..###
- ..###
- ..##.
- ..##.
- ..##.
- ..##.
- ..##.
- ..##.
- ..##.
- ..##.
- .
....... EOS
)
(module+ main
; (read-display-thin-display-image e.g.-image/2) ; (newline) (read-display-thin-display-image e.g.-image))</lang>
- Output:
Only the requested image is output:
Original image: ................................ .#########.......########....... .###...####.....####..####...... .###....###.....###....###...... .###...####.....###............. .#########......###............. .###.####.......###....###...... .###..####..###.####..####.###.. .###...####.###..########..###.. ................................ Thinned image: ................................ ..#######.........######........ ..#.....#........##............. ..#......#.......#.............. ..#.....#........#.............. ..#####.#........#.............. .......##........#.............. ........#....#...##....##...#... .........#.........####......... ................................
REXX
<lang rexx>/*REXX pgm thins a NxM char grid using the Zhang-Suen thinning algorithm*/ parse arg iFID .; if iFID== then iFID='ZHANG_SUEN.DAT' white=' '; @.=white /* [↓] read the input char grid. */
do row=1 while lines(iFID)\==0; _=linein(iFID)
_=translate(_,,.0); cols.row=length(_)
do col=1 for cols.row; @.row.col=substr(_,col,1)
end /*col*/ /* [↑] assign whole row of chars*/
end /*row*/
rows=row-1 /* adjust ROWS because of DO loop*/ call show@ 'input file ' iFID " contents:" /*show the input char grid.*/
do until changed==0; changed=0 /*keep slimming until we're done.*/
do step=1 for 2 /*keep track of step 1 │ step 2.*/
do r=1 for rows /*process all rows and columns. */
do c=1 for cols.r; !.r.c=@.r.c /*assign alternate grid.*/
if r==1|r==rows|c==1|c==cols.r then iterate /*is an edge?*/
if @.r.c==white then iterate /*White? Then skip it.*/
call Ps; b=b() /*define Ps and "b". */
if b<2 | b>6 then iterate /*is B within range?*/
if a()\==1 then iterate /*count the transitions.*/ /* ╔══╦══╦══╗ */
if step==1 then if (p2 & p4 & p6) | p4 & p6 & p8 then iterate /* ║p9║p2║p3║ */
if step==2 then if (p2 & p4 & p8) | p2 & p6 & p8 then iterate /* ╠══╬══╬══╣ */
!.r.c=white /*set a grid character to white.*/ /* ║p8║p1║p4║ */
changed=1 /*indicate a char was changed. */ /* ╠══╬══╬══╣ */
end /*c*/ /* ║p7║p6║p5║ */
end /*r*/ /* ╚══╩══╩══╝ */
call copy!2@ /*copy alternate to working grid.*/
end /*step*/
end /*until changed==0*/
call show@ 'slimmed output:' /*display the slimmed char grid. */ exit /*stick a fork in it, we're done.*/ /*──────────────────────────────────subroutines─────────────────────────*/ a: return (\p2==p3&p3)+(\p3==p4&p4)+(\p4==p5&p5)+(\p5==p6&p6)+(\p6==p7&p7)+(\p7==p8&p8)+(\p8==p9&p9)+(\p9==p2&p2) b: return p2 + p3 + p4 + p5 + p6 + p7 + p8 + p9 copy!2@: do r=1 for rows; do c=1 for cols.r; @.r.c=!.r.c; end;end; return show@: say; say arg(1); say; do r=1 for rows; _=; do c=1 for cols.r; _=_||@.r.c; end; say _; end; return
Ps: rm=r-1; rp=r+1; cm=c-1; cp=c+1 /*calculate shortcuts.*/
p2=@.rm.c\==white; p3=@.rm.cp\==white; p4=@.r.cp\==white; p5=@.rp.cp\==white
p6=@.rp.c\==white; p7=@.rp.cm\==white; p8=@.r.cm\==white; p9=@.rm.cm\==white; return</lang>
output when using the default input:
input file ZHANG_SUEN.DAT contents:
################# #############
################## ################
################### ##################
######## ####### ###################
###### ####### ####### ######
###### ####### #######
################# #######
################ #######
################# #######
###### ####### #######
###### ####### #######
###### ####### ####### ######
######## ####### ###################
######## ####### ###### ################## ######
######## ####### ###### ################ ######
######## ####### ###### ############# ######
slimmed output:
# ########## #######
## # #### #
# # ##
# # #
# # #
# # #
############ #
# # #
# # #
# # #
# # #
# ##
# ############
### ###
output when using the default input: zhang_suen2.dat
input file zhang_suen2.dat contents:
111111111 11111111
111 1111 1111 1111
111 111 111 111
111 1111 111
111111111 111
111 1111 111 111
111 1111 111 1111 1111 111
111 1111 111 11111111 111
slimmed output:
1111111 111111
1 1 11
1 1 1
1 1 1
11111 1 1
11 1
1 1 11 11 1
1 1111
Ruby
First I define a function zs which given a point and its eight neighbours returns 1 if the point may be culled, 0 otherwise. g indicates if this is step 1 or step 2 in the task description. zs may be changed to remember the step independently if the reader does not wish to explore the algorithm.
<lang ruby>class ZhangSuen
NEIGHBOUR8 = [[-1,0],[-1,1],[0,1],[1,1],[1,0],[1,-1],[0,-1],[-1,-1]] # 8 neighbors
CIRCULARS = NEIGHBOUR8 + [NEIGHBOUR8.first] # P2, ... P9, P2
def initialize(str, black="#")
s1 = str.each_line.map{|line| line.chomp.each_char.map{|c| c==black ? 1 : 0}}
s2 = s1.map{|line| line.map{0}}
xrange = 1 ... s1.size-1
yrange = 1 ... s1[0].size-1
printout(s1)
begin
@r = 0
xrange.each{|x| yrange.each{|y| s2[x][y] = s1[x][y] - zs(s1,x,y,1)}} # Step 1
xrange.each{|x| yrange.each{|y| s1[x][y] = s2[x][y] - zs(s2,x,y,0)}} # Step 2
end until @r == 0
printout(s1)
end
def zs(ng,x,y,g)
return 0 if ng[x][y] == 0 or # P1
(ng[x-1][y] + ng[x][y+1] + ng[x+g][y-1+g]) == 3 or # P2, P4, P6/P8
(ng[x-1+g][y+g] + ng[x+1][y] + ng[x][y-1]) == 3 # P4/P2, P6, P8
bp1 = NEIGHBOUR8.inject(0){|res,(i,j)| res += ng[x+i][y+j]} # B(P1)
return 0 if bp1 < 2 or 6 < bp1
ap1 = CIRCULARS.map{|i,j| ng[x+i][y+j]}.each_cons(2).count{|a,b| a<b} # A(P1)
return 0 if ap1 != 1
@r = 1
end
def printout(image)
puts image.map{|row| row.map{|col| " #"[col]}.join}
end
end
str = <<EOS ........................................................... .#################...................#############......... .##################...............################......... .###################............##################......... .########.....#######..........###################......... ...######.....#######.........#######.......######......... ...######.....#######........#######....................... ...#################.........#######....................... ...################..........#######....................... ...#################.........#######....................... ...######.....#######........#######....................... ...######.....#######........#######....................... ...######.....#######.........#######.......######......... .########.....#######..........###################......... .########.....#######.######....##################.######.. .########.....#######.######......################.######.. .########.....#######.######.........#############.######.. ........................................................... EOS
ZhangSuen.new(str)
task_example = <<EOS 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000 EOS
ZhangSuen.new(task_example, "1")</lang>
- Output:
(only the requested result is shown here)
####### ######
# # ##
# # #
# # #
##### # #
## #
# # ## ## #
# ####
Tcl
Only the single image is converted. <lang tcl># -*- coding: utf-8 -*-
set data { 00000000000000000000000000000000 01111111110000000111111110000000 01110001111000001111001111000000 01110000111000001110000111000000 01110001111000001110000000000000 01111111110000001110000000000000 01110111100000001110000111000000 01110011110011101111001111011100 01110001111011100111111110011100 00000000000000000000000000000000 } proc zhang-suen data {
set data [string trim $data]
while 1 {
set n 0 incr n [step 1 data] incr n [step 2 data] if !$n break
} return $data
} proc step {number _data} {
upvar 1 $_data data
set xmax [string length [lindex $data 0]]
set ymax [llength $data]
switch -- $number {
1 {set cond {(!$P2 || !$P4 || !$P6) && (!$P4 || !$P6 || !$P8)}} 2 {set cond {(!$P2 || !$P4 || !$P8) && (!$P2 || !$P6 || !$P8)}}
}
set hits {}
for {set x 1} {$x < $xmax-1} {incr x} {
for {set y 1} {$y < $ymax-1} {incr y} { if {[getpix $data $x $y] == 1} { set b [B $data $x $y] if {2 <= $b && $b <= 6} { if {[A $data $x $y] == 1} { set P2 [getpix $data $x [expr $y-1]] set P4 [getpix $data [expr $x+1] $y] set P6 [getpix $data $x [expr $y+1]] set P8 [getpix $data [expr $x-1] $y] if $cond {lappend hits $x $y} } } } }
}
foreach {x y} $hits {set data [setpix $data $x $y 0]}
return [llength $hits]
} proc A {data x y} {
set res 0
set last [getpix $data $x [expr $y-1]]
foreach {dx dy} {1 -1 1 0 1 1 0 1 -1 1 -1 0 -1 -1 0 -1} {
set this [getpix $data [expr $x+$dx] [expr $y+$dy]] if {$this > $last} {incr res} set last $this
} return $res
} proc B {data x y} {
set res 0
foreach {dx dy} {1 -1 1 0 1 1 0 1 -1 1 -1 0 -1 -1 0 -1} {
incr res [getpix $data [expr $x+$dx] [expr $y+$dy]]
} return $res
} proc getpix {data x y} {
string index [lindex $data $y] $x
} proc setpix {data x y val} {
set row [lindex $data $y] lset data $y [string replace $row $x $x $val] return $data
} puts [string map {1 @ 0 .} [join [zhang-suen $data] \n]]</lang>
- Output:
................................ ..@@@@@@@.........@@@@@@........ ..@.....@........@@............. ..@......@.......@.............. ..@.....@........@.............. ..@@@@@.@........@.............. .......@@........@.............. ........@....@...@@....@@...@... .........@.........@@@@......... ................................