Is there a way to segment this image into 3 parts, even though the colours are so similar?

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Teshan Rezel
Teshan Rezel 2021-11-30
评论： yanqi liu 2021-12-11
Hi folks, I am trying to segment the following image of a seed. The points of interest look very similar in RGB, HSV, LAB and YCbCr colour spaces. Is there a way to segment out the 3 areas of interest? I am looking specifically to segment out the germ, endosperm (corneus + floury) and pericarp. I need to find an automated way to do this as there are hundreds of images to analyse!
Below is an example of my images, followed by a labelled diagram of the seed.
Thanks in advance!

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yanqi liu
yanqi liu 2021-12-1
Ran in:
yes，sir，may be use kmeans or watershed
clc;
clear all;
close all;
img = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/818419/image.png');
img = imresize(img, 0.3, 'bilinear');
im = rgb2gray(img);
bw = ~imbinarize(im,'adaptive','ForegroundPolarity','dark','Sensitivity',0.6);
bw = imclose(imopen(bw, strel('disk', 2)), strel('disk', 5));
bw = bwareafilt(bw,1);
bw = imfill(bw, 'holes');
bw = imopen(bw, strel('disk', 13));
bw = bwareafilt(bw,1);
im = im .* uint8(bw);
% make segment
im = mat2gray(im);
bw1 = imbinarize(im,'adaptive','ForegroundPolarity','dark','Sensitivity',0.7);
bw1 = imclose(bw1, strel('disk', 5));
bw1 = imopen(bw1, strel('disk', 15));
bw1 = imdilate(bwareafilt(bw1,1), strel('disk', 5));
figure; imshow(img);
hold on;
h=imshow(label2rgb(bwlabel(bw1)),[]);
set(h,'AlphaData', 0.6)
  2 个评论
Teshan Rezel
Teshan Rezel 2021-12-10
@yanqi liu thank you for responding, but I'm looking to segment the top image, not the bottom one! The technique you used doesn't appear to work for that one...
yanqi liu
yanqi liu 2021-12-11
Ran in:
yes，sir，is it to segment 3 parts，may be by color or pixel，such as
clc;
clear all;
close all;
img = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/818414/image.png');
J = rgb2lab(img);
im = mat2gray(J(:,:,1));
mk = im2bw(im,0.9);
mk = ~mk;
mk = imfill(mk, 'holes');
mk = bwareafilt(mk,1);
im(~mk) = 0;
thresh = multithresh(im,3);
seg_im = imquantize(im,thresh);
figure; imshow(img);
hold on;
h=imshow(label2rgb(seg_im),[]);
set(h,'AlphaData', 0.6)

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