Cluster

Cluster a colour image (number of clusters are user defined) using the k-means algorithm.

 

function call:

[out_img1]=vsg('Cluster',in_img1,num1);

 

Arguments:

in_img1 - input image, 3 channel RGB, 1 channel greyscale or binary image.

num1 – an integer specifying the number of colours to which the input image shall be reduced.

 

Description:

out_img1 – an image with the same dimensions as the input image which is the input image with a reduced number of colours. The colours are estimated such that the difference between the input and output images is minimised.

 

Example:

in_img1=imread('lake.jpg');

h=figure;image(in_img1);set(h,'Name','Input');

num1=7; % number of colour clusters

[out_img1]=vsg('Cluster',in_img1,num1);

h=figure; image(uint8(out_img1));set(h,'Name','Cluster');

Notes

Clusters may merge and a lower number of output colours may be found.

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