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Rough Set Theory and its Applications in Image Processing – A Short Review
| Content Provider | Semantic Scholar |
|---|---|
| Copyright Year | 2014 |
| Abstract | Roughs set theory (RST) is one of the major components of soft computing and has the capability of dealings with vagueness/uncertainty/ambiguity. Recently, significant growth of the applications of RST in various image processing applications has triggered to do this review. This paper presents a short review of the concepts and applications of RST with emphasis on image processing applications. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.basharesearch.com/WCSET2014/wcset2014111.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |