Function uses Standard Hough Transform to detect circles in a binary image.
According to the Hough Transform for circles, each pixel in image space
corresponds to a circle in Hough space and vise versa.
upper left corner of image is the origin of coordinate system.
[y0detect,x0detect,Accumulator] = houghcircle(Imbinary,r,thresh)
all the reported bugs are fixed, please let me know if you find any other bug. Thanks. and check out the software section on the Computer Vision Online (http://www.computervisiononline.com/software) for more open source software related to image processing and computer vision
The performance is sensitive to the pre-defined radius.
It's nice to read
pls send me the mat lab coding for creation of bounding box using regionprops.
Hardly appliable to real problems, because you need to know the exact radius of the circle you are looking for.
do the fair good work.
i want to know algorithm for image processing, now iam starting to experiment
If you can let the user set the range of radius, it would be better.
apart from the speed-up of only looking over the range where the sqrt is real, you can also remove the repeated calculations for y01 and y02.
yOffset = sqrt(r^2-(xIndex(cnt)-x0)^2);
y01 = yIndex(cnt) - yOffset;
y02 = yIndex(cnt) + yOffset;
Also, take the r^2 and image size calculations out of the for loop. They only need to be claculated once.
Does not work at all
You should replace your inner loop to look only over the range of value for which your sqrt is real. This will noticably speed up your routine.
if (low<1) low=1; end
if (high>size(Imbinary,2)) high=size(Imbinary,2); end
for x0 = low:high
y01 = y-sqrt(r^2-(x-x0)^2);
y02 = y+sqrt(r^2-(x-x0)^2);
y01 = round(y01); y02 = round(y02);
if y01 < size(Imbinary,1) & y01 >= 1
Accumulator(y01,x0) = Accumulator(y01,x0)+1;
if y02 < size(Imbinary,1) & y02 >= 1
Accumulator(y02,x0) = Accumulator(y02,x0)+1;
Semplice e ben fatto,magari andrebbero aggiunte alcune note per spiegare meglio il programma.Comunque complimenti
Implemented suggestion by Peter Bone/ Better documentation
Modified version,faster and better performance
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