please don't refer me watershed method and otsu algorithm. i have already worked on them. These are not suitable for more than two overlapping objects. please help me out of this.
overlapped objects counting in matlab
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hi. i m working on a project which is related to digital image processing but i can't count the overlapped objects it take multiple overlapped objects as one object. please tell me which method i can use for this problem.... and overlapped objects may be two or more than two..... so please tell me that method which is suitable for this......
best regards FAISAL SALEH KHATTAK
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回答 (2 件)
Laurens Bakker
2012 年 3 月 7 日
Hi Faisal,
I'm not sure if MATLAB is the right tool for this. Take a look at http://boost-geometry.203548.n3.nabble.com/intersection-of-two-vectors-of-polygons-td2875513.html
Cheers,
Laurens
0 件のコメント
Image Analyst
2012 年 4 月 8 日
If you can't use watershed or similar object splitting methods, then you can try some shaped based methods if you know something about the shape but they will be complicated. For example, you know that all your shapes are hexagons or something. But let's say that you have discs. Now let's say you want to know how many discs (let's say DVD or CD discs) are overlapping in a stack of 50 of them. All you have is an overhead photo of the 50 disc stack. How are you going to know how many discs are in the stack? You can't because they're hidden from view.
11 件のコメント
Md Hafizur Rahman
2020 年 2 月 13 日
編集済み: Md Hafizur Rahman
2020 年 2 月 13 日
The Main Code
A = imread('1_03.png');
figure(1)
imshow(A)
I = rgb2gray(A);
I = adapthisteq(I);
I = wiener2(I, [3 3]);
bw = im2bw(I, graythresh(I));
bw2 = imfill(bw,'holes');
bw3 = imopen(bw2, strel('disk',1));
bw4 = bwareaopen(bw3, 500);
L = bwlabel(bw4);
s = regionprops(L, 'Centroid');
figure(9)
imshow(bw4)
for k = 1:numel(s)
c = s(k).Centroid;
text(c(1), c(2), sprintf('%d', k), 'Color', 'r', ...
'HorizontalAlignment', 'center', ...
'VerticalAlignment', 'middle');
end
bw4_perim = bwperim(bw4);
overlay1 = imoverlay(I, bw4_perim, [1 .3 .3]);
figure(11)
imshow(overlay1)
Output of the code: (Please see the attachment)
The first image is input image the second image is output image
Image Analyst
2020 年 2 月 13 日
I just don't see how all the bacteria can be automatically identified in this. Even we as humans won't necessarily get the "correct" answer. I'd suggest you just call drawpoint() in a loop to have the user keep dropping down points until he's dropped a point on every single bacteria.
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