Color wheel: Difference between revisions
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pix[x,y] = tuple([int(round(c*255.0)) for c in rgb]) |
pix[x,y] = tuple([int(round(c*255.0)) for c in rgb]) |
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im.show()</lang |
im.show()</lang> |
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=={{header|Sidef}}== |
=={{header|Sidef}}== |
Revision as of 04:59, 18 December 2016
- Task
Write a function to draw a HSV color wheel[1] completely with code.
This is strictly for learning purposes only. It's highly recommended that you use an image in an actual application to actually draw the color wheel (as procedurally drawing is super slow). This does help you understand how color wheels work and this can easily be used to determine a color value based on a position within a circle.
GML
<lang GML> for (var i = 1; i <= 360; i++) {
for (var j = 0; j < 255; j++) {
var hue = 255*(i/360); var saturation = j; var value = 255;
var c = make_colour_hsv(hue,saturation,value); //size of circle determined by how far from the center it is //if you just draw them too small the circle won't be full. //it will have patches inside it that didn't get filled in with color var r = max(1,3*(j/255));
//Math for built-in GMS functions //lengthdir_x(len,dir) = +cos(degtorad(direction))*length; //lengthdir_y(len,dir) = -sin(degtorad(direction))*length; draw_circle_colour(x+lengthdir_x(m_radius*(j/255),i),y+lengthdir_y(m_radius*(j/255),i),r,c,c,false); }
} </lang>
Perl 6
<lang perl6>use Image::PNG::Portable;
my ($w, $h) = 300, 300;
my $out = Image::PNG::Portable.new: :width($w), :height($h);
my $center = $w/2 + $h/2*i;
color-wheel($out);
$out.write: 'Color-wheel-perl6.png';
sub color-wheel ( $png ) {
for ^$w -> $x { for ^$h -> $y { my $vector = $center - $x - $y*i; my $magnitude = $vector.abs * 2 / $w; my $direction = ( π + atan2( |$vector.reals ) ) / τ; $png.set: $x, $y, |hsv2rgb( $direction, $magnitude, $magnitude < 1 ); } }
}
sub hsv2rgb ( $h, $s, $v ){ # inputs normalized 0-1
my $c = $v * $s; my $x = $c * (1 - abs( (($h*6) % 2) - 1 ) ); my $m = $v - $c; my ($r, $g, $b) = do given $h { when 0..^(1/6) { $c, $x, 0 } when 1/6..^(1/3) { $x, $c, 0 } when 1/3..^(1/2) { 0, $c, $x } when 1/2..^(2/3) { 0, $x, $c } when 2/3..^(5/6) { $x, 0, $c } when 5/6..1 { $c, 0, $x } } ( $r, $g, $b ) = map { (($_+$m) * 255).Int }, $r, $g, $b;
}</lang>
Until local image uploading is re-enabled, see Color-wheel-perl6.png
Python
<lang python>from PIL import Image import colorsys import math
if __name__ == "__main__":
im = Image.new("RGB", (300,300)) radius = min(im.size)/2.0 centre = im.size[0]/2, im.size[1]/2 pix = im.load()
for x in range(im.width): for y in range(im.width): rx = x - centre[0] ry = y - centre[1] s = ((x - centre[0])**2.0 + (y - centre[1])**2.0)**0.5 / radius if s <= 1.0: h = ((math.atan2(ry, rx) / math.pi) + 1.0) / 2.0 rgb = colorsys.hsv_to_rgb(h, s, 1.0) pix[x,y] = tuple([int(round(c*255.0)) for c in rgb])
im.show()</lang>
Sidef
<lang ruby>require('Imager')
var (width, height) = (300, 300) var center = Complex(width/2 , height/2)
var img = %s|Imager|.new(
xsize => width, ysize => height, )
for y, x in (^height ~X ^width) {
var vector = (center - x - y.i) var magnitude = (vector.abs * 2 / width) var direction = ((Num.pi + atan2(vector.real, vector.imag)) / Num.tau) img.setpixel( x => x, y => y, color => Hash(hsv => [360*direction, magnitude, magnitude < 1 ? 1 : 0]) )
}
img.write(file => 'color_wheel.png')</lang>
zkl
Each point in a square is converted to polar coordinates, the angle is hue and the radius is saturation (which is scaled by the distance from the pole). If the radius/saturation is in the circle, render it.
Uses the PPM class from http://rosettacode.org/wiki/Bitmap/Bresenham%27s_line_algorithm#zkl <lang zkl>var w=300,h=300,out=PPM(w,h); colorWheel(out); out.writeJPGFile("colorWheel.zkl.jpg");
fcn colorWheel(ppm){
zero,R:=ppm.w/2, zero; foreach x,y in (w,h){ v,hue:=(x - zero).toFloat().toPolar(y - zero); if(v<=R){ // only render in the circle
if((hue = hue.toDeg())<0) hue+=360; // (-pi..pi] to [0..2pi) s:=v/R; // scale saturation zero at center to 1 at edge ppm[x,y]=hsv2rgb(hue,1.0,s);
} }
}
fcn hsv2rgb(hue,v,s){ // 0<=H<360, 0<=v(brightness)<=1, 0<=saturation<=1 // --> 24 bit RGB each R,G,B in [0..255]
to24bit:=fcn(r,g,b,m){ r,g,b=((r+m)*255).toInt(),((g+m)*255).toInt(),((b+m)*255).toInt(); r*0x10000 + g*0x100 + b }; c:=v*s; x:=c*(1.0 - (hue.toFloat()/60%2 - 1).abs()); m:=v - c; if (0 <=hue< 60) return(to24bit(c, x, 0.0,m)); else if(60 <=hue<120) return(to24bit(x, c, 0.0,m)); else if(120<=hue<180) return(to24bit(0.0,c, x, m)); else if(180<=hue<240) return(to24bit(0.0,x, c, m)); else if(240<=hue<300) return(to24bit(x, 0.0,c, m)); else return(to24bit(c, 0.0,x, m));
}</lang> Until local image uploading is re-enabled, see this image.