How to detect and count number of circles in overlap condition
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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?
採用された回答
Image Analyst
2020 年 5 月 11 日
I'd try normalized cross correlation and scan the image with known templates. Attached is a demo.
5 件のコメント
Image Analyst
2020 年 5 月 12 日
Or try deep learning, perhaps YOLO v2. That's all I got. I've run out of suggestions.
その他の回答 (1 件)
KALYAN ACHARJYA
2020 年 5 月 11 日
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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