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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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016786...
Related URL: http://dx.doi.org/10.1016/0167-8655(87)90061-4
Abstract
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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