Talk:Hough transform: Difference between revisions

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::::::::::::: My problem with the TCL code is not how it outputs the image or what ever...it's the algorithm it uses to "tally the votes." The MATLAB code iterates through each of the original image pixels and bins all of the sinusoids for "edge" pixels (aka the votes). From what I can tell the TCL implementation iterates over each of the pixels in the hough space to construct the transform. But, I can not for the life of me figure out how the original image pixels cast votes for rho and theta values in the hough space in the algorithm implemented by the TCL code. --[[User:Cferri|Chris Ferri]]
 
:::::::::::: The Tcl code uses the ranges ''ρ''∈[0…''R'' ] and ''θ''∈[0…2''π'' ] (where ''R'' is a “radius” that is “sufficiently large”). It also uses an origin in the middle of the image. Saying that the ranges should instead be [−''R''…''R'' ] and [−''π''…''π'' ] respectively is just nit-picking, as is picking any other origin. All it does is change the offsets of (and possibly cyclically rotate, due to the sinusoidal repetition) the output. –[[User:Dkf|Donal Fellows]] 08:54, 10 August 2010 (UTC)
 
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