K-means image processing color scales

I've recently had a problem with the coloring of the data clusters in K-means image processing. I'm trying to process multiple images to sort color gradients in the image into three distinct clusters, but each time I run K-means I get different colors representing each cluster. Is there any way to control this? I'm using the basic K-means image processing that's on this site.

I = imread('north_sm_gray.bmp');

imshow(I)

title('north sm')

[L,Centers] = imsegkmeans([I],3);

B = labeloverlay(I,L);

imshow(B)

title('north sm processed')

Answer 1

[Srivardhan Gadila]

Refer to the Colormap Name-Value Pair Argument of the function labeloverlay.

colorMap = [1 0 0; 0 0 1; 0 1 0];
B = labeloverlay(I,L,'Colormap',colorMap);