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From: Peter Bone on 15 Nov 2005 20:53 Here's a function for finding circles in a binary edge image using a Hough transform that I need optimizing. I found it on MATLAB central file exchange and then I made it about 10 times faster by making a few changes but it's still too slow because I'm searching a range or circle sizes. So can anyone suggest further optimization? The slowest bit is obviously the first voting part. function [y0detect,x0detect,Accumulator] = houghcircle(Imbinary,r,thresh) if nargin == 2 thresh = 4; elseif thresh < 4 error('treshold value must be bigger or equal to 4'); return end %Voting Accumulator = zeros(size(Imbinary)); rsqr = r^2; imSize = size(Imbinary); [yIndex xIndex] = find(Imbinary); for cnt = 1:length(xIndex) low=xIndex(cnt)-r; high=xIndex(cnt)+r; if (low<1) low=1; end if (high>imSize(2)) high=imSize(2); end for x0 = low:high yOffset = sqrt( rsqr - (xIndex(cnt)-x0)^2 ); y01 = yIndex(cnt) - yOffset; y02 = yIndex(cnt) + yOffset; y01 = round(y01); y02 = round(y02); if y01 < imSize(1) & y01 >= 1 Accumulator(y01,x0) = Accumulator(y01,x0) + 1; end if y02 < imSize(1) & y02 >= 1 Accumulator(y02,x0) = Accumulator(y02,x0) + 1; end end end % Finding local maxima in Accumulator y0detect = []; x0detect = []; AccumulatorbinaryMax = imregionalmax(Accumulator); [Potential_y0 Potential_x0] = find(AccumulatorbinaryMax == 1); Accumulatortemp = Accumulator - thresh; for cnt = 1:length(Potential_y0) if Accumulatortemp(Potential_y0(cnt),Potential_x0(cnt)) >= 0 y0detect = [y0detect;Potential_y0(cnt)]; x0detect = [x0detect;Potential_x0(cnt)]; end end Thanks Peter Bone
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