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

1 Ansicht (letzte 30 Tage)
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!

Akzeptierte Antwort

yanqi liu
yanqi liu am 1 Dez. 2021
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 Kommentare
Teshan Rezel
Teshan Rezel am 10 Dez. 2021
@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 am 11 Dez. 2021
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)

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Produkte


Version

R2021b

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by