HISTCONTRAST - Contrast feature derived from (co)occurrence matrices.

Contents

Description
Syntax
References
See also
Function implementation

Description

Calculate the contrast feature defined in [HSD73] from (co)occurrence matrices.

This feature measures the local contrast C in an image as [ST99]:

GLCM case - with $P_{ij}$ the joint probability of the greylevel pair : $C = \sum_{i,j} (i-j)^2 \cdot P_{ij}$

GLSDV case - with the probability of the greylevel difference : $C = \sum_d d^2 \cdot P_d$

Syntax

   C = HISTCONTRAST(Pij, i, j);
   C = HISTCONTRAST(Pd, d);

References

[HSD73] R.M. Haralick, K. Shanmugam, and I. Dinstein: "Textural features for image classification", IEEE Trans. Systems, Man and Cybernetics, 3(6):610-621, 1973. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4309314

[Hara79] R.M. Haralick: "Statistical and structural approaches to texture", Proceedings of IEEE, 67:786-804, 1979. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1455597

[ST99] L. Soh and C. Tsatsoulis: "Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices", IEEE Trans. on Geoscience and Remote Sensing, 37(2), 1999. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=752194

See also

Ressembles: HISTENERGY, HISTHOMOGENEITY, HISTVARIANCE, HISTENTROPY2, HISTENTROPY10, HISTMAXIMUM, HISTMEAN, HISTDISSIMILARITY, HISTIDIFFERENCE, HISTCORRELATION, LOCALGLCM2D, LOCALGLOV2D, LOCALGLSDV2D.

Function implementation

function C = histcontrast(pIJ,I,varargin)

C = I;
if nargin>2
    C = C - varargin{1};
end;

C = C .* C;
C = sum (C(:) .* pIJ(:));
end % end of histcontrast