Distinguish between lines and spots in a grayscale image
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Hi everyone,
I have to find a way to distinguish between lines and spots in a grayscale image like the one below, marking them with different colours (i.e. red for lines and blue for spots). My problem is that everything is mixed up and it is difficult to divide lines from everything else. Any ideas?
I would very thankful if you could help me!
Rita
Image:
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Changoleon
2016-11-1
Hi, what are all those tiny dots around the center of the image? In the center, you clearly have some lines. You could do the following to distinguish the lines:
b = double(imread('tomo.png'))/255;
a = rgb2gray(b);
H1 = fspecial('sobel');
H2 = H1';
hor=imfilter(a,H1);
ver=imfilter(a,H2);
mag = sqrt( hor.^2 + ver.^2 );
ori = atan(ver./hor);
ang=(ori+pi).*(ori<0)+ori.*(ori>=0);
mag_pi = mag./pi;
mask1 = (mag_pi>=0.2);
lines = medfilt2(mask1,[5 5]);
imagesc(a); colormap gray;
figure
imagesc(lines); colormap gray
Well, this solution is based on edge detection. What you could also do is tho find the skeleton of those lines using skiz
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Image Analyst
2016-11-2
I have no idea which irregularly shaped blobs in your image you consider to be lines or spots, roundish spots I presume. I don't see either shape. All I see is a bunch or irregularly shaped white blobs plot some small black dots. What you could do is to threshold to find the bright blobs, then ask regionprops to find the Solidity and MajorAxisLength and MinorAxisLength and take the ratio of the lengths. See my Image Segmentation Tutorial for a full demo of using regionprops(). http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
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