Pal, Nikhil R. ; Pal, Sankar K. (1989) Entropic thresholding Signal Processing, 16 (2). pp. 97-108. ISSN 0165-1684
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/016516...
Related URL: http://dx.doi.org/10.1016/0165-1684(89)90090-X
Abstract
Entropy of order q (depending on the information contained in a sequence of gray levels of length q) and the conditional entropy of an image are defined. The existing definition of global entropy is found to be its special case when q = 1. Using these definitions, two algorithms for image thresholding (object-background classification) are formulated and implemented with the help of its co-occurrence matrix. The superiority of these algorithms is experimentally demonstrated for a set of images.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to European Association for Signal Processing. |
| Keywords: | Entropy; Segmentation; Co-occurence Matrix |
| ID Code: | 26057 |
| Deposited On: | 06 Dec 2010 13:10 |
| Last Modified: | 13 Jun 2011 06:11 |
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