Over-segmentation in the marker controlled watershed in Matlab

Question

I have a problem while implementing the marker controlled watershed in Matlab.

The input image is a binary mask which have two clustered object. An other image is an oth

Answer 1

Solution 2: Using marker based watershed:

You can use the function imimposemin to force the local minima to be where your markers are. You'll need to slighty modify the code in solution 1 below by replacing the first imDist... line with

imgDist=-bwdist(~img);
imgDist=imimposemin(imgDist,marker);

The rest of the code is the same. You should get the segmentation as follows:

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Solution 1: Using Manhattan distance:

Here is a solution in MATLAB that separates your two clusters:

img=im2bw(imread('http://i.stack.imgur.com/qrYCL.jpg'));

imgDist=-bwdist(~img,'cityblock');
imgDist(~img)=-inf;    
imgLabel=watershed(imgDist);    

imshow(imgLabel==0,'InitialMagnification','fit')

Answer 2

This is how I would do this in Mathematica. Hope you can translate.

i1 = Binarize@Import["http://i.stack.imgur.com/qrYCL.jpg"];
marker = Binarize@Import[  "http://i.stack.imgur.com/CMI6Z.jpg"]; 

ImageMultiply[i1, WatershedComponents[i1, marker] // Colorize]