MATLAB Image processing filtering
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One sample image is http://goo.gl/0IOkBZy .Download the file and name it as
My code is
Now here , I am getting two regions, one the small area (1) and the other as the big one (2)
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Walter Roberson
2016-1-15
bwareafilt() if you have a newer MATLAB. If not then regionprops() 'Area' and select only the smaller of the two regions.
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Walter Roberson
2016-1-15
编辑:Walter Roberson
2016-1-15
Look at the eccentricity of the region. The split regions are probably not going to be as circular as the region you want.
Also, image dilation would have a good chance of joining back together the split large region long before the dilation reached the region of interest.
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Image Analyst
2016-1-15
For that particular image, you can use
labeledImage = bwlabel(binaryImage);
smallBlob = ismember(labeledImage, 2) > 0;
In general somehow you have to identify the blob you want, then use ismember() to extract it. For this one, I know that you have only 2 blobs and that the small inside one will be blob #2 because of the way it does labeling. But in general (like your second image), you may have to use regionprops() to get other measurements to identify the particular blob(s) you want, and then use ismember(). See my Image Segmentation Tutorial http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862 for examples of that where I pick out different coins in the image.
You may also want to learn about bwareafilt() or bwselect().
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Image Analyst
2016-1-16
But you never posted any image where they were connected. Anyway, if you do have images like that, you can split them apart with code Steve put on his blog: http://blogs.mathworks.com/steve/2013/11/19/watershed-transform-question-from-tech-support/ Please try Steve's code on your image and if you can't tweak it enough to get it working, then post that image and your script back here.
harjeet singh
2016-1-16
try to use this code for these type of image, but not for every slice
clear all
close all
clc
img=imread('ok2.jpg');
img=rgb2gray(img);
img1=img>mean(img(:));
img2=imfill(img1,'holes');
se=strel('disk',2);
img2=imdilate(img2,se);
img3=img2 & ~img1;
img4=imfill(img3,'holes');
img5=img4 & ~img3;
img6=bwareaopen(img5,100);
figure(7)
imshow(img6)
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