How can I detect that which squares are ticked in the image?
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How can I detect that which squares are ticked in the image?
I'm think use the normxcorr2 or imshowpair to compare the original image with ticked image, but I not sure how to do this.
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Accepted Answer
Mark Sherstan
on 15 Dec 2018
An almost identical question and solution can be found here
8 Comments
Mark Sherstan
on 15 Dec 2018
One thing you could try is use a color marker instead of a pen. Use a color mask to locate a mark and then divide your image into quadrants and check that way instead of looking for specific boxes. I am sure Image Analyst will have some other good suggestions .
Image Analyst
on 15 Dec 2018
It's a little more complicated and you'll have to have labeled training images but you could use a deep learing model to find the squares. Otherwise we'll have to use fancier traditional techniques to find them. Can we guarantee that there will be 28 squares in a 7 row, 3 column format? If so, we could threshold and then find 28 blobs in a certain size range.
More Answers (1)
Image Analyst
on 15 Dec 2018
You might try the attached script. It automatically finds the boxes and inspects inside for black marks. It still needs work since the boxes are not identified by row and column, and there still needs to be some robustness about inspecting the boxes depending on how it behaves with other images. But at least it's automatically finding your boxes correctly and identifying checked boxes correctly for THIS image.
You might also take a look at a demo I made for finding marked circles in an OMR (Optical Mark Recognition) image.
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