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Circle Detection via Standard Hough Transform

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Circle Detection via Standard Hough Transform

by Amin Sarafraz

 

23 May 2004 (Updated 29 Nov 2004)

Find circles with specific radius in a binary image via Standard Hough Transform.

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Description

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.

Example :
[y0detect,x0detect,Accumulator] = houghcircle(Imbinary,r,thresh)

Acknowledgements
This submission has inspired the following:
Parabola detection using Hough Transform, Hough Transform for Circle Detection (GUI), Hough Transform for circle detection
Required Products Image Processing Toolbox
MATLAB release MATLAB 6.5 (R13)
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Comments and Ratings (16)
19 Jul 2004 Mirko Beccaria

Semplice e ben fatto,magari andrebbero aggiunte alcune note per spiegare meglio il programma.Comunque complimenti

27 Oct 2004 CJ Taylor

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.

            low=x-r;
            high=x+r;
            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;
                end
                if y02 < size(Imbinary,1) & y02 >= 1
                    Accumulator(y02,x0) = Accumulator(y02,x0)+1;
                end
            end

04 Jan 2005 anish l  
19 Oct 2005 Joseph Nguyen

Does not work at all

16 Nov 2005 Peter Bone

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.

14 Dec 2005 Dennis Bush

If you can let the user set the range of radius, it would be better.

04 Jan 2006 mcs swami  
26 Jun 2006 Big Huy  
26 Jun 2006 Jamal Joder

Nada

04 Jan 2007 zainal muttaqin

i want to know algorithm for image processing, now iam starting to experiment

12 Mar 2007 ahmed ahmed  
10 Apr 2007 he yi

do the fair good work.

14 Sep 2007 Georg Wiora

Hardly appliable to real problems, because you need to know the exact radius of the circle you are looking for.

11 Jan 2008 smitha deepu

sir;
       pls send me the mat lab coding for creation of bounding box using regionprops.

02 Mar 2008 varadha raj

It's nice to read

02 Jun 2009 David

The performance is sensitive to the pre-defined radius.

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Updates
29 Nov 2004

Modified version,faster and better performance

Tag Activity for this File
Tag Applied By Date/Time
image analysis combinethefriend tran 26 Mar 2010 08:50:07
hough transform circle detection image Moussa Bâ 31 May 2010 04:23:08
hough transform circle detection image nakov 12 Dec 2011 03:49:38
hough transform circle detection image Mikel Garay 15 Dec 2011 11:49:25

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