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watershed algorithm in matlab

anyon开发者_StackOverflowe knows how to write a function in matlab to segment the cells and compute the average cell area using the watershed algorithm? any help would be much appreciated. Thank you!

Here is an image of yeast cells

watershed algorithm in matlab


Here's one way to segment the image using watershed. There's plenty more you could do (e.g. fuse cells with two nuclei if they haven't completed cytokinesis yet), but the steps below should give you a first idea.

(1) Determine cell-background threshold, cell-nucleus threshold

%# read image
img = imread('http://i.stack.imgur.com/nFDkX.png');
%# normalize to 0...1
imgN = double(img-min(img(:)))/(max(img(:)-min(img(:))));
th1=graythresh(imgN);
th2 = graythresh(imgN(imgN>th1));

cellMsk = imgN>th1;
nucMsk = imgN>th2;

figure,imshow(cellMsk+nucMsk,[])

watershed algorithm in matlab

(2) Smooth the raw image (to avoid oversegmentation) and impose nuclei as minima

[xx,yy]=ndgrid(-5:5,-5:5);
gf = exp((-xx.^2-yy.^2)/20);
filtImg = conv2(imgN,gf,'same');

figure,imshow(filtImg,[])

filtImgM = imimposemin(-filtImg,nucMsk);

watershed algorithm in matlab

(3) Watershed, mask cells, and display

ws = watershed(filtImgM);
ws(~cellMsk) = 0;

lblImg = bwlabel(ws);

figure,imshow(label2rgb(lblImg,'jet','k','shuffle'));

watershed algorithm in matlab

(4) Now you can use REGIONPROPS on the labeled image to extract the statistics you want.


See watershed in the Image Processing toolbox and this post on cell segmentation on the 'Steve on Image Processing' blog.

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