Compute the entropy of the co-occurrence matrix.

 

function call:

[num1]=vsg('CoEntropy',in_img1);

 

Arguments:

in_img1 input image, 3 channel RGB, 1 channel greyscale or binary image, or DICOM image. The image should be a co-occurrence matrix of dimension 256x256 per slice/colour-channel.

 

Description:

The function CoEntropy computes the entropy of the co-occurrence matrix of an image. num1 – the entropy of the image used to create the input co-occurrence matrix image.

 

Example:

img = openimage('lake.jpg');

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

[out_img1]=vsg('CoOcMatGen',img);

[num1]=vsg('CoEntropy',out_img1)

h=figure;imagesc((out_img1(:,:,1)));colormap(gray);set(h,'Name','CooccurrenceMatrixGenerator');

num1 =  -1.0468e+006

 

Notes:

1. For DICOM images, the function returns the mean entropy per slice

2. For RGB images, the function returns the mean entropy per colour plane.