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The proposed scheme employs the Markov random field (MRF) model on the region adjacency graph (RAG) to improve the quality of watershed segmentation. Here, the fusion criterion is according to the correlation coefficient, which uses inter-region similarities to determine the merging of regions. Analysis of the performance of the proposed technique is presented through quantitative and qualitative validation experiments on benchmark images, and significant and promising segmentation results are presented using brain phantom simulated data. <\/jats:p>","DOI":"10.1142\/s0218001408006788","type":"journal-article","created":{"date-parts":[[2009,1,13]],"date-time":"2009-01-13T08:38:20Z","timestamp":1231835900000},"page":"1403-1425","source":"Crossref","is-referenced-by-count":2,"title":["REGION SIMILARITY RELATIONSHIP BETWEEN WATERSHED AND PENALIZED FUZZY HOPFIELD NEURAL NETWORK ALGORITHMS FOR BRAIN IMAGE SEGMENTATION"],"prefix":"10.1142","volume":"22","author":[{"given":"WEN-FENG","family":"KUO","sequence":"first","affiliation":[{"name":"Department of Computer Science &amp; Information Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan"},{"name":"Department of Medical Informatics Teaching Hospital, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan"}]},{"given":"CHI-YUAN","family":"LIN","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Information Engineering, National Chin-Yi University of Technology, No. 35, Lane 215, Section 1, Chung-Shan Road, Taiping City, Taichung County, 411, Taiwan"}]},{"given":"YUNG-NIEN","family":"SUN","sequence":"additional","affiliation":[{"name":"Department of Computer Science &amp; Information Engineering, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1109\/42.996338"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00154-5"},{"key":"rf4","first-page":"178","volume":"56","author":"Blean A.","journal-title":"CVGIP Image Underst."},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1006\/cviu.1999.0822"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1109\/42.511759"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1109\/42.819322"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1016\/0031-3203(94)90128-7"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1109\/42.712135"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001406004879"},{"key":"rf11","first-page":"72","volume":"35","author":"Derin H.","journal-title":"CVGIP"},{"key":"rf12","first-page":"39","volume":"9","author":"Derin H.","journal-title":"IEEE Trans. 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