How to remove unconnected regions from image

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I am doing project "Persons identification on the basis of retinal vessels". I am working on the part of segmentation of blood vessels. I have read some relevant papers to implement segmentation process. However segmentation is not giving good results with majority of my images. I have to get good segmentation result for all the images. Some of papers I read are: <> I also used information on the link and solved some problems using bwareafilt() and bwareaopen(). Below is my one of the input image with which segmentation is not good at all. Please help me with this. I also attached my .m file. Thanks in advance.
Image Analyst
Image Analyst on 19 Mar 2017
What is she hoping that you can visualize or measure that she can't see without you? Is she willing to manually trace or outline things?

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Answers (1)

sam  CP
sam CP on 17 Mar 2017
You can refer the following code..
binaryImage = bwareafilt(binaryImage, 2); % Extract 2 largest blobs. % Erode it a little with imopen(). figure, imshow(binaryImage,[]);title('bwareafilt2'); binaryImage = imopen(binaryImage, true(5)); figure, imshow(binaryImage,[]);title('imopen');
binaryImage = bwareafilt(binaryImage, 1); % Extract largest blob. figure, imshow(binaryImage,[]);title('bwareafilt1'); % Fill any holes in the lagest blob. binaryImage = imfill(binaryImage, 'holes'); figure, imshow(binaryImage,[]);title('imfill'); % Dilate mask out a bit in case we've chopped out a little bit of largest blob. binaryImage = imdilate(binaryImage, true(5)); figure, imshow(binaryImage,[]);title('imdilate');
% Display the final binary image.
figure, imshow(binaryImage, []);title('Final binary image');

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