Pal, Sankar K. ; Ghosh, Ashish (1992) Image segmentation using fuzzy correlation Information Sciences, 62 (3). pp. 223-250. ISSN 0020-0255
Full text not available from this repository.
Official URL: http://linkinghub.elsevier.com/retrieve/pii/002002...
Related URL: http://dx.doi.org/10.1016/0020-0255(92)90017-3
Abstract
A concept of correlation between two properties (fuzzy representations) of an image is introduced. A set of algorithms for image segmentation (both fuzzy and nonfuzzy) has been formulated. The spatial information is taken care of by the following measures: transitional correlation and within-class correlation. A relation between the correlation coefficient and the index of fuzziness is theoretically established and experimentally verified. The effectiveness of the algorithms is illustrated on images having different types of histograms.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Elsevier Science. |
| ID Code: | 26084 |
| Deposited On: | 06 Dec 2010 13:07 |
| Last Modified: | 13 Jun 2011 06:00 |
Repository Staff Only: item control page
