k means clustering shows only blank image if i loop it k times

22 次查看(过去 30 天)
Anirudh Kochhar
Anirudh Kochhar2021-10-22
回答: Image Analyst ,2021-11-8,13:45
If i loop for i = 1:2 i get clustering otherwise i just get a blank image. any idea why?
im = imread("irobot.jpg");
im_as_col = double(im(:));
cluster_membs = kmeans(im_as_col, 3)
cluster_membs = 6912000×1
2 2 2 2 2 2 2 2 2 2
labelim = zeros(size(im));
for i=1:3
inds = find(cluster_membs==i);
meanval = mean(im_as_col(inds));
labelim(inds) = meanval;
end
imshow(im)
imshow(labelim);
  2 个评论
Anirudh Kochhar
Anirudh Kochhar 2021-10-22
hey sorry i forgot to add the image to the question. now that it is attached it should be easier to see. I dont get to see the k mean clustered image for some reason. it is a white image.

请先登录,再进行评论。

采纳的回答

yanqi liu
yanqi liu 2021-11-5,8:00
clc; clear all; close all;
im = imread("https://ww2.mathworks.cn/matlabcentral/answers/uploaded_files/774998/irobot.jpg");
im_as_col = double(im(:));
cluster_membs = kmeans(im_as_col, 3);
labelim = zeros(size(im));
for i=1:3
inds = find(cluster_membs==i);
meanval = mean(im_as_col(inds));
labelim(inds) = meanval;
end
figure; imshow(im,[])
figure; imshow(mat2gray(labelim),[]);
  3 个评论
yanqi liu
yanqi liu 2021-11-8,5:44
yes,sir,its make 3 color class,and use label to display different gray level,that can be ref label2rgb

请先登录,再进行评论。

更多回答(2 个)


Image Analyst
Image Analyst 2021-11-8,13:45
For what it's worth, attached is my Color Classifier that is based on Discrminant Analysis instead of kmeans. Basically you draw regions that are representative of the colors you want to have as your classes. Then it classifies all the pixels in the image into one of those classes.
Also attaching a KNN classifier demo.
Adapt as needed.

Community Treasure Hunt

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

Start Hunting!

Translated by