How can I read a batch of images instead of a single image, cluster them and pick the desired clusters for the segmented images for further analysis?
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I am using the following code for the segmentation of images which has rash on the skin which can segment only a single image. I want to find a way to read a batch of images instead of a single image and pick the desired clusters for further analysis.
I have attached two images for testing.
Help me please!
I = imread(['ColorSpace\ForExperiment\foot.jpg']);
lab_he = rgb2lab(I);
% Extract first channel (L)
ab = lab_he(:, :, 2:3);
% Convert to data type single
ab = im2single(ab);
% Perform clustering using K-Means
nColors = 4;
pixel_labels = imsegkmeans(ab, nColors, "NumAttempts", 5);
imshow(pixel_labels, []);
% Display each cluster with their objects
mask1 = pixel_labels == 1;
cluster1 = I .* uint8(mask1);
imshow(cluster1); title('Objects in cluster1');
% Display second cluster's objects
mask2 = pixel_labels == 2;
cluster2 = I .* uint8(mask2);
imshow(cluster2); title('Objects in cluster2');
% Display third cluster's objects
mask3 = pixel_labels == 3;
cluster3 = I .* uint8(mask3);
imshow(cluster3); title('Objects in cluster3');
% Display fourth cluster's objects
mask4 = pixel_labels == 4;
cluster4 = I .* uint8(mask4);
imshow(cluster4); title('Objects in cluster4');
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回答(1 个)
Image Analyst
2020-3-9
To process a folder of images, put your code inside a loop over files. See the FAQ for code samples:
另请参阅
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