The exact difference between background and foreground
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Hi all I want to obtain background and foreground difference exactly. From shown image you see i wnat to get from images the all particles like figure. The original image like this and i write this code but it doesnt work fine. What is your suggestions new filter design or something helpful. Because after this process i want to take circular(nearly) particles from these images(maybe tolerance band). Here is the starting code for background foreground difference
% imshow(c8);
I=c7(1:420, 1:712);
subplot(2,2,1);
imshow(I(1:420, 1:712));
Iblur1 = imgaussfilt(I,1);
subplot(2,2,2);
imshow(Iblur1);
background = imopen(Iblur1,strel('disk',3));
I2 = I - background;
subplot(2,2,3);
imshow(I2);
I3 = imadjust(I2);
subplot(2,2,4);
imshow(I3);
The original image untitled one, and after background foreground particle exact definition i want to find these high circularity particles.
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Image Analyst
2016년 4월 22일
1 개 추천
It looks like you can threshold either the original image and/or an image you get from stdfilt().
Then ask for the area and perimeter and compute the circularity = 4*pi*area/perimeter^2. Look for blobs where the circularity is high, say more than 0.7 or so.
See my Image Segmentation Tutorial for more help: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
댓글 수: 8
Image Analyst
2016년 4월 24일
Try casting original to double(), though I don't think it should be necessary. Then display with [] in imshow():
newone = stdfilt(double(original));
imshow(newone, []);
ali
2016년 4월 24일
Image Analyst
2016년 4월 24일
Yes, you undoubtedly have problems. Not only is there extremely low contrast with respect to the noise, but your blobs are pretty much all connected together. After noise reduction and thresholding, you may need watershed. See Steve's blog: http://blogs.mathworks.com/steve/2013/11/19/watershed-transform-question-from-tech-support/
ali
2016년 4월 24일
편집: Walter Roberson
2016년 4월 25일
Image Analyst
2016년 4월 24일
After you split apart with watershed (like Steve's blog in the link I just gave in my last comment shows), then compute the area and perimeter and possibly solidity with regionprops(). Then compute the circularity and see which particles are circular or convex enough for you to consider that they're "circles."
Image Analyst
2016년 4월 26일
I'm sorry that this project would take me more than the few minutes I'm able to donate to questions. I'm not even sure what you want, and if what you say you want is really what you need. I'd need to devote a ton more time into figuring that out and developing an algorithm for it and I just can't spend that much time. This is what I do all day at work for my own projects and so I have very little time for others - usually just a few minutes per question. Good luck though.
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