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The Rough-set theory helps in very fast convergence and in avoiding local minima problem, thereby enhancing the performance of the EM, better result can be achieved. During rough-set-theoretic rule generation, each band is individualized by using the fuzzy-correlation-based gray-level thresholding. Therefore, use of Rough-set in image segmentation can be very useful. In this paper, a summary of all previous Rough-set based image segmentation methods are described in detail and also categorized accordingly. Rough-set based image segmentation provides a stable and better framework for image segmentation.<\/p>","DOI":"10.4018\/ijrsda.2014070105","type":"journal-article","created":{"date-parts":[[2014,10,1]],"date-time":"2014-10-01T16:49:35Z","timestamp":1412182175000},"page":"62-74","source":"Crossref","is-referenced-by-count":63,"title":["Image Segmentation Using Rough Set Theory"],"prefix":"10.4018","volume":"1","author":[{"given":"Payel","family":"Roy","sequence":"first","affiliation":[{"name":"Department of CA, JIS College of Engineering, Kalyani, India"}]},{"given":"Srijan","family":"Goswami","sequence":"additional","affiliation":[{"name":"Department of Medical Biotechnology, IGMGS, Kolkata, India"}]},{"given":"Sayan","family":"Chakraborty","sequence":"additional","affiliation":[{"name":"Department of CSE, JIS College of Engineering, Kalyani, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7869-6373","authenticated-orcid":true,"given":"Ahmad Taher","family":"Azar","sequence":"additional","affiliation":[{"name":"Faculty of Computers and Information, Benha University, Benha, Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8437-498X","authenticated-orcid":true,"given":"Nilanjan","family":"Dey","sequence":"additional","affiliation":[{"name":"Department of ETCE, Jadavpur University, Kolkata, India"}]}],"member":"2432","reference":[{"issue":"1","key":"ijrsda.2014070105-0","first-page":"90","article-title":"Rough Set based MRI Medical image segmentation using optimized initial centroids.","volume":"6","author":"N.Anupama","year":"2013","journal-title":"International Journal of Emerging Technologies in Computational and Applied Sciences."},{"key":"ijrsda.2014070105-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2008.11.027"},{"key":"ijrsda.2014070105-2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2008.2010437"},{"key":"ijrsda.2014070105-3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCIC.2013.6724171"},{"key":"ijrsda.2014070105-4","doi-asserted-by":"publisher","DOI":"10.1109\/ICONCE.2014.6808740"},{"key":"ijrsda.2014070105-5","doi-asserted-by":"crossref","unstructured":"Chan, T., & Vese, L. 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