Effacer les filtres
Effacer les filtres

The exact difference between background and foreground

5 vues (au cours des 30 derniers jours)
ali
ali le 22 Avr 2016
Commenté : Image Analyst le 26 Avr 2016
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.

Réponse acceptée

Walter Roberson
Walter Roberson le 22 Avr 2016
The difference between foreground and background is intent.
For example, if you are studying the Sun, then anything other than the Sun in your image is of no interest: the Sun is the foreground. But if you are studying solar comets, then you want to ignore the Sun and look at the little dots flying very close to the Sun: the comets are the foreground and the Sun is the background. In exactly the same picture.

Plus de réponses (2)

Image Analyst
Image Analyst le 22 Avr 2016
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
  8 commentaires
ali
ali le 25 Avr 2016
Modifié(e) : ali le 25 Avr 2016
Thanks for all Im going to develop step by step first stdfilt with double comes result like this. When I m writing these ı havent finished yet. So there should be another process for define threshold level after stdfilt( ı choose there 11, but it breaks out the image not good) When I finished others I will give info to you thanks so much.
Image Analyst
Image Analyst le 26 Avr 2016
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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ali
ali le 25 Avr 2016
Thanks for suggest i implemented all your comments and results. Comparing the original what should i do to take better results. I also tried and integrated watershed code there.

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