{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T17:51:26Z","timestamp":1725558686417},"reference-count":26,"publisher":"Institution of Engineering and Technology (IET)","issue":"4","license":[{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2016,4,1]],"date-time":"2016-04-01T00:00:00Z","timestamp":1459468800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11171049","31271077","11301246"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IET Image Processing"],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1049\/iet-ipr.2015.0236","type":"journal-article","created":{"date-parts":[[2016,1,26]],"date-time":"2016-01-26T15:05:22Z","timestamp":1453820722000},"page":"272-279","source":"Crossref","is-referenced-by-count":76,"title":["Adaptive fuzzy c\u2010means algorithm based on local noise detecting for image segmentation"],"prefix":"10.1049","volume":"10","author":[{"given":"Fang\u2010Fang","family":"Guo","sequence":"first","affiliation":[{"name":"School of Mathematical Sciences, Dalian University of TechnologyDalian116024People's Republic of China"}]},{"given":"Xiu\u2010Xiu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of MathematicsSchool of Fundamental Sciences, China Medical UniversityShenyang110122People's Republic of China"}]},{"given":"Jie","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Mathematics, Liaoning Normal UniversityDalian116029People's Republic of China"}]}],"member":"265","published-online":{"date-parts":[[2016,4]]},"reference":[{"issue":"4","key":"e_1_2_7_2_1","first-page":"708","article-title":"Boosting classifiers for scene category recognition","volume":"6","author":"Lu F.","year":"2015","journal-title":"J. Inf. Hiding Multimedia Signal Process."},{"issue":"2","key":"e_1_2_7_3_1","first-page":"371","article-title":"Segmentation of median nerve by greedy active contour detection framework on strain ultrasound images","volume":"6","author":"Wang Y.W.","year":"2015","journal-title":"J. Inf. Hiding Multimedia Signal Process."},{"issue":"6","key":"e_1_2_7_4_1","first-page":"652","article-title":"Image texture segmentation with ant colony systems","volume":"1","author":"Lai M.S.","year":"2006","journal-title":"Int. J. Innov. Comput. Inf. Control"},{"issue":"3","key":"e_1_2_7_5_1","first-page":"534","article-title":"Rotation invariant texture classification using principal direction estimation and random projection","volume":"6","author":"Qiao Y.","year":"2015","journal-title":"J. Inf. Hiding Multimedia Signal Process."},{"key":"e_1_2_7_6_1","unstructured":"2009 Proc. Nineth Int. Conf. on Hybrid Intelligent Systems H.C. Huang Y.H. Chen G.Y. Lin Fuzzy\u2010based bacterial foraging for watermarking applications 214 217"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","volume-title":"Pattern recognition with fuzzy objective function algorithm","author":"Bezdek J.C.","DOI":"10.1007\/978-1-4757-0450-1"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.597000"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/91.227387"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2004.840099"},{"key":"e_1_2_7_12_1","unstructured":"2002 IEEE Proc. of Int. Conf. on Image Processing D.L. Pham Fuzzy clustering with spatial constraints 65 68"},{"key":"e_1_2_7_13_1","first-page":"17","article-title":"Image segmentation by fuzzy c\u2010means clustering algorithm with a novel penalty term","volume":"26","author":"Yang Y.","year":"2007","journal-title":"Comput. Informatics"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2010.2040763"},{"key":"e_1_2_7_15_1","unstructured":"2007 Third Int. Conf. L. Sun T.C. Lin H.C. Huang An optimized approach on applying genetic algorithm to adaptive cluster validity index 582 585"},{"issue":"2","key":"e_1_2_7_16_1","doi-asserted-by":"crossref","first-page":"1412","DOI":"10.1016\/j.cviu.2013.05.001","article-title":"An adaptive spatial information theoretic fuzzy clustering algorithm for image segmentation","volume":"117","author":"Wang Z.","year":"2013","journal-title":"Comput. Vis. Image Underst."},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2244080"},{"key":"e_1_2_7_18_1","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1016\/S0167-8655(02)00401-4","article-title":"Suppressed fuzzy c\u2010means clustering algorithm","volume":"24","author":"Fan J.L.","year":"2003","journal-title":"Pattern Recognit."},{"key":"e_1_2_7_19_1","doi-asserted-by":"crossref","first-page":"4083","DOI":"10.1016\/j.eswa.2014.01.003","article-title":"Optimal\u2010selection\u2010based suppressed fuzzy c\u2010means clustering algorithm with self\u2010tuning non local spatial information for image segmentation","volume":"41","author":"Zhao F.","year":"2014","journal-title":"Expert Syst. Appl."},{"key":"e_1_2_7_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2004.831165"},{"key":"e_1_2_7_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2004.01.012"},{"issue":"1","key":"e_1_2_7_22_1","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.fss.2009.10.021","article-title":"Kernel\u2010based fuzzy clustering and fuzzy clustering: a comparative experimental study","volume":"161","author":"Graves D.","year":"2010","journal-title":"Fuzzy Sets Syst."},{"key":"e_1_2_7_23_1","unstructured":"1999 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition M.N. Ahmed S.M. Yamany A.A. Farag Bias field estimation and adaptive segmentation of MRI data using a modified fuzzy c\u2010means algorithm 250 255"},{"key":"e_1_2_7_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.996338"},{"key":"e_1_2_7_25_1","unstructured":"2003 Proc. 25th Annual Int. Conf. of the IEEE Engineering in Medical and Biology Society L. Szil\u00e1gyi Z. Benyo S.M. Szil\u00e1gyi MR brain image segmentation using an enhanced fuzzy c\u2010means algorithm 724 726"},{"key":"e_1_2_7_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.07.011"},{"issue":"6","key":"e_1_2_7_27_1","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1049\/iet-cvi.2011.0263","article-title":"Brain magnetic resonance image segmentation based on an adapted non\u2010local fuzzy c\u2010means method","volume":"6","author":"Chen Y.","year":"2012","journal-title":"IET Comput. Vis."}],"container-title":["IET Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/iet-ipr.2015.0236","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1049\/iet-ipr.2015.0236","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1049\/iet-ipr.2015.0236","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,13]],"date-time":"2021-01-13T16:25:32Z","timestamp":1610555132000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1049\/iet-ipr.2015.0236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,4]]},"references-count":26,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["10.1049\/iet-ipr.2015.0236"],"URL":"https:\/\/doi.org\/10.1049\/iet-ipr.2015.0236","archive":["Portico"],"relation":{},"ISSN":["1751-9667","1751-9667"],"issn-type":[{"value":"1751-9667","type":"print"},{"value":"1751-9667","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,4]]}}}