- Binarize the image so that it's logical. binaryImage = grayImage > 128
- Call binaryImage = imclearborder(binaryImage) to get rid of the single line around the perimeter.
- Invert the image: binaryImage = ~binaryImage, so now black circles are white
- Call binaryImage = imclearborder(binaryImage) to get rid of the large (now white) background
- Call bwlabel: [labeledImage, numberOfCircles] = bwlabel(binaryImage). This gives you the count.
- Call measurements = regionprops(labeledImage) if you want other measurements
Counting objects in an image
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Dear Researchers, I have a problem of counting objects in an image. Suppose I have the below image (below link)
which i got after segmentation.
how can I count the small circles in the middle of the image. Kindly suggest
Subrajeet
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采纳的回答
Image Analyst
2013-1-7
编辑:Image Analyst
2013-1-7
2 个评论
Image Analyst
2013-1-7
编辑:Image Analyst
2013-1-7
It's just basic, elementary image segmentation via intensity thresholding. Nothing fancy at all. See updated instructions above.
更多回答(3 个)
Thomas
2013-1-7
编辑:John Kelly
2017-11-8
You could use techniques shown in many MATLAB image processing demos.
SANAHA PATHAN
2016-7-25
i want to count number of silkworm eggs from this figure, i used L=Count(binaryfig) this command for counting number of objects ,this command works but i actually dont know what actually this command count,and result of this command is different every time
3 个评论
anna
2016-10-5
编辑:anna
2016-10-5
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/184885/image.jpeg)
hey I segmented blue nuclei from a blood smear image using k means color segmentation. how can i count the number of segmented blue nuclei. could u please help me with the code for counting [ cant use imfindcircle because the segmented nuclei are not exactly cirlce in shape ]
Image Analyst
2016-10-8
Beenish Ishtiaq
2021-8-3
Need code for counting different shapes separatelly which shows each shape result respectively in different edit boxes in GUI matlab..
2 个评论
Image Analyst
2021-8-3
See my attached demos. I find that usually using findpeaks() to count the number of peaks in the plot of distance of perimeter from centroid works pretty well.
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