Segmentation using contrast and homogeneity measures

Pal, S. K. ; Pal, N. R. (1987) Segmentation using contrast and homogeneity measures Pattern Recognition Letters, 5 (4). pp. 293-304. ISSN 0167-8655

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The present work describes an algorithm for automatic image segmentation using a 'homogeneity' measure and a 'contrast' measure defined on the co-occurrence matrix of the image. The measure of contrast involves the concept of logarithmic response (adaptibility with background intensity) of the human visual system (HVS). A merging algorithm is also introduced in order to remove the undesirable thresholds. Effectiveness of the algorithm and the comparison of its performance with the existing ones are demonstrated for a set of images.

Item Type:Article
Source:Copyright of this article belongs to International Association for Pattern Recognition.
Keywords:Image Processing; Homogeneity and Contrast Measures; Human Visual System; Co-occurrence Matrix
ID Code:26103
Deposited On:06 Dec 2010 13:05
Last Modified:13 Jun 2011 06:12

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