How to detect and count number of circles in overlap condition
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Syaw Werdas
am 11 Mai 2020
Kommentiert: Image Analyst
am 12 Mai 2020
Hello...I have questions about an image with multiple shapes that overlap.
1. How to count the number of disks in the image? (If I'm not mistaken,the mentioned disks are refer to the circle shapes)
2. How to count the boundary pixels in the image?
3. How to count the pixels of that are common to two or more objects?
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Image Analyst
am 11 Mai 2020
I'd try normalized cross correlation and scan the image with known templates. Attached is a demo.
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Image Analyst
am 12 Mai 2020
Or try deep learning, perhaps YOLO v2. That's all I got. I've run out of suggestions.
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KALYAN ACHARJYA
am 11 Mai 2020
Here are my submission:
1. How to count the number of disks in the image? (If I'm not mistaken,the mentioned disks are refer to the circle shapes)
2. How to count the boundary pixels in the image?
Extract the boundary pixels, and do the operation as you are looking for.
boundary_pixels=image([1,end],:) , (image([:,[1,end])');
Simple count is=2*rows*columns
3. How to count the pixels of that are common to two or more objects?
Please refer the following links
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