Detecting an ellipse in a glaucoma photo?
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For glaucoma diagnosis it is common to determine a "cup to disk ratio" which compares the diameter of the optic disk (VDD) and optic cup (VCD). The optical disk is visible as a circular red feature (red channel) and the optic cup shows up as a yellow circle (green channel). How can I calculate the diameter ratio between optic disk and optic cup?
I am able to detect the optic disk with canny edge detection, but I have not found a way to calculate the cup to disk ratio. How might I do that?
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Image Analyst
on 18 Nov 2015
There is no glaucoma toolbox so you're going to have to look to the literature for the algorithm. Start your search here http://www.visionbib.com/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models and look up papers on retina image processing. You'll probably find something if someone has done it before. Then code it up.
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Image Analyst
on 18 Nov 2015
I can't help you write the algorithm from the paper. edge() does have a "Canny" option.
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