Pal, Sankar K. ; Shankar, B. Uma ; Mitra, Pabitra (2005) Granular computing, rough entropy and object extraction Pattern Recognition Letters, 26 (16). pp. 2509-2517. ISSN 0167-8655
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S01678...
Related URL: http://dx.doi.org/10.1016/j.patrec.2005.05.007
Abstract
The problem of image object extraction in the framework of rough sets and granular computing is addressed. A measure called "rough entropy of image" is defined based on the concept of image granules. Its maximization results in minimization of roughness in both object and background regions; thereby determining the threshold of partitioning. Methods of selecting the appropriate granule size and efficient computation of rough entropy are described.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to International Association for Pattern Recognition. |
| Keywords: | Rough Sets; Entropy; Image Segmentation; Set Approximation; Granules |
| ID Code: | 26071 |
| Deposited On: | 06 Dec 2010 13:08 |
| Last Modified: | 17 May 2016 09:25 |
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