CoHomog

Compute the homogeneity of the co-occurrence matrix.

 

function call:

[num1]=vsg('CoHomog',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:

num1 – the homogeneity of the image used to create the input co-occurrence matrix image. This value measures the closeness of the distribution of elements in the co-occurrence matrix to its diagonal.

 

Example:

mg = openimage('lake.jpg');

%[img]=convert(img);

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

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

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

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

 

num1 =  9.7808e+004

Notes:

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

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

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