How to convert image from clustering to Gray image?

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menna gamal
menna gamal on 15 Apr 2015
Edited: Ashish Uthama on 15 Apr 2015
i work in blood cell image , i used clustering to extract red blood cell only without white blood cell i did it and its work in this code , my problem is i want to convert the final image to gray image or RGB , i don't know the type of the final image(blue_nuclei) the image i want to convert to gray named is (blue_nuclei) in code this is my code :
he = imread('CL_13-09_image2.jpg');
figure(1),imshow(he), title('H&E image');
cform = makecform('srgb2lab');
lab_he = applycform(he,cform);
ab = double(lab_he(:,:,2:3));
nrows = size(ab,1);
ncols = size(ab,2);
ab = reshape(ab,nrows*ncols,2);
nColors = 3;
% repeat the clustering 3 times to avoid local minima
[cluster_idx cluster_center] = kmeans(ab,nColors,'distance','sqEuclidean', ...
'Replicates',3);
pixel_labels = reshape(cluster_idx,nrows,ncols);
figure(2),imshow(pixel_labels,[]), title('image labeled by cluster index');
segmented_images = cell(1,3);
rgb_label = repmat(pixel_labels,[1 1 3]);
for k = 1:nColors
color = he;
color(rgb_label ~= k) = 0;
segmented_images{k} = color;
end
figure(3),imshow(segmented_images{1}), title('objects in cluster 1');
figure(4),imshow(segmented_images{2}), title('objects in cluster 2');
figure(5),imshow(segmented_images{3}), title('objects in cluster 3');
mean_cluster_val = zeros(3,1);
for k = 1:nColors
mean_cluster_val(k) = mean(cluster_center(k));
end
[mean_cluster_val,idx] = sort(mean_cluster_val);
blue_cluster_num = idx(2);
L = lab_he(:,:,1);
blue_idx = find(pixel_labels == blue_cluster_num);
L_blue = L(blue_idx);
is_light_blue = im2bw(L_blue,graythresh(L_blue));
nuclei_labels = repmat(uint8(0),[nrows ncols]);
nuclei_labels(blue_idx(is_light_blue==false)) = 1;
nuclei_labels = repmat(nuclei_labels,[1 1 3]);
blue_nuclei = he;
blue_nuclei(nuclei_labels ~= 1) = 0;
figure(6),imshow(blue_nuclei), title('blue nuclei');
my image i work on :

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