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Fuzzy [Formula: see text]-means algorithm (FCM) is often used in image segmentation. However, when there is noise in the image, it easily falls into the local optimum, which results in poor image boundary segmentation effect. A novel method is proposed to solve this problem. In the proposed method, first, the image is transformed into a neutrosophic image. In order to improve the ability of global search, a combined FCM based on particle swarm optimization (PSO) is proposed. Finally, the proposed algorithm is applied to the neutrosophic image segmentation. The results of experiments show that the novel algorithm can eliminate image noise more effectively than the FCM algorithm, and make the boundary of the segmentation area clearer. <\/jats:p>","DOI":"10.1142\/s0218001420550113","type":"journal-article","created":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T02:26:09Z","timestamp":1559183169000},"page":"2055011","source":"Crossref","is-referenced-by-count":8,"title":["A Novel Neutrosophic Image Segmentation Based on Improved Fuzzy <i>C<\/i>-Means Algorithm (NIS-IFCM)"],"prefix":"10.1142","volume":"34","author":[{"given":"Jing","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), No. 3501 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"},{"name":"School of Technology, Shandong, University of Traditional Chinese Medicine, No. 4655 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4905-593X","authenticated-orcid":false,"given":"Xiaoli","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), No. 3501 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"},{"name":"School of Technology, Shandong, University of Traditional Chinese Medicine, No. 4655 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Qilu University of Technology (Shandong Academy of Sciences), No. 3501 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"},{"name":"School of Technology, Shandong, University of Traditional Chinese Medicine, No. 4655 University Road of Changqing District, Jinan 250353, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,8,26]]},"reference":[{"key":"S0218001420550113BIB001","doi-asserted-by":"publisher","DOI":"10.1016\/j.jocs.2018.01.003"},{"key":"S0218001420550113BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2013.07.005"},{"issue":"3","key":"S0218001420550113BIB003","first-page":"378","volume":"21","author":"Bonyadi M. 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