{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T05:55:56Z","timestamp":1782626156668,"version":"3.54.5"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T00:00:00Z","timestamp":1734652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"the National Natural Science Founda- tion of China","award":["12371454"],"award-info":[{"award-number":["12371454"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"DOI":"10.1007\/s10462-024-11057-x","type":"journal-article","created":{"date-parts":[[2024,12,20]],"date-time":"2024-12-20T04:17:25Z","timestamp":1734668245000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Possibilistic C-means with novel image representation for image segmentation"],"prefix":"10.1007","volume":"58","author":[{"given":"Hanshuai","family":"Cui","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongjian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenyi","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,12,20]]},"reference":[{"issue":"3","key":"11057_CR1","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/42.996338","volume":"21","author":"MN Ahmed","year":"2002","unstructured":"Ahmed MN, Yamany SM, Mohamed N et al (2002) A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 21(3):193\u2013199","journal-title":"IEEE Trans Med Imaging"},{"key":"11057_CR2","unstructured":"Anonymous (Unknown) Google images. https:\/\/www.google.com\/imghp"},{"issue":"5","key":"11057_CR3","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2010","unstructured":"Arbelaez P, Maire M, Fowlkes C et al (2010) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898\u2013916","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"11057_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87\u201396","journal-title":"Fuzzy Sets Syst"},{"issue":"1","key":"11057_CR5","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0165-0114(89)90215-7","volume":"33","author":"KT Atanassov","year":"1989","unstructured":"Atanassov KT (1989) More on intuitionistic fuzzy sets. Fuzzy Sets Syst 33(1):37\u201345","journal-title":"Fuzzy Sets Syst"},{"issue":"3","key":"11057_CR6","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1109\/91.531780","volume":"4","author":"M Barni","year":"1996","unstructured":"Barni M, Cappellini V, Mecocci A (1996) Comments on a possibilistic approach to clustering. IEEE Trans Fuzzy Syst 4(3):393\u2013396","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"11057_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers, USA"},{"issue":"1","key":"11057_CR8","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1109\/TFUZZ.2020.3022080","volume":"29","author":"F Bu","year":"2021","unstructured":"Bu F, Hu C, Zhang Q et al (2021) A cloud-edge-aided incremental high-order possibilistic c-means algorithm for medical data clustering. IEEE Trans Fuzzy Syst 29(1):148\u2013155","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"11057_CR9","unstructured":"De Cock M, Bodenhofer U, Kerre EE (2000) Modelling linguistic expressions using fuzzy relations. In: Proc. Int. Conf. Soft Comput. Citeseer, pp 353\u2013360"},{"key":"11057_CR10","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1080\/01969727308546046","volume":"3","author":"JC Dunn","year":"1973","unstructured":"Dunn JC (1973) A fuzzy relative of the isodata process and its use in detecting compact well separated clusters. J Cybernet 3:32\u201357","journal-title":"J Cybernet"},{"key":"11057_CR11","unstructured":"Garcia-Garcia A, Orts-Escolano S, Oprea S, et al (2017) A review on deep learning techniques applied to semantic segmentation. https:\/\/arxiv.org\/abs\/1704.06857, 1704.06857"},{"issue":"2","key":"11057_CR12","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/TIP.2012.2219547","volume":"22","author":"M Gong","year":"2013","unstructured":"Gong M, Liang Y, Shi J et al (2013) Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Trans Image Process 22(2):573\u2013584","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"11057_CR13","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/S0031-3203(97)00045-9","volume":"31","author":"L Gupta","year":"1998","unstructured":"Gupta L, Sortrakul T (1998) A gaussian-mixture-based image segmentation algorithm. Pattern Recognit 31(3):315\u2013325","journal-title":"Pattern Recognit"},{"issue":"5","key":"11057_CR14","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1109\/TPAMI.2005.95","volume":"27","author":"JZ Huang","year":"2005","unstructured":"Huang JZ, Ng MK, Rong H et al (2005) Automated variable weighting in k-means type clustering. IEEE Trans Pattern Anal Mach Intell 27(5):657\u2013668","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"11057_CR15","doi-asserted-by":"publisher","first-page":"540","DOI":"10.1016\/j.ins.2022.08.077","volume":"611","author":"L Jiao","year":"2022","unstructured":"Jiao L, Yang H, Zg Liu et al (2022) Interpretable fuzzy clustering using unsupervised fuzzy decision trees. Inf Sci 611:540\u2013563","journal-title":"Inf Sci"},{"issue":"2","key":"11057_CR16","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1109\/42.491417","volume":"15","author":"B Johnston","year":"1996","unstructured":"Johnston B, Atkins MS, Mackiewich B et al (1996) Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI. IEEE Trans Med Imaging 15(2):154\u2013169","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"11057_CR17","first-page":"92","volume":"22","author":"P Kamencay","year":"2013","unstructured":"Kamencay P, Zachariasova M, Hudec R et al (2013) A novel approach to face recognition using image segmentation based on spca-knn method. Radioengineering 22(1):92\u201399","journal-title":"Radioengineering"},{"issue":"5","key":"11057_CR18","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TIP.2010.2040763","volume":"19","author":"S Krinidis","year":"2010","unstructured":"Krinidis S, Chatzis V (2010) A robust fuzzy local information c-means clustering algorithm. IEEE Trans Image Process 19(5):1328\u20131337","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"11057_CR19","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"1993","unstructured":"Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1(2):98\u2013110","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"11057_CR20","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/91.531779","volume":"4","author":"R Krishnapuram","year":"1996","unstructured":"Krishnapuram R, Keller JM (1996) The possibilistic c-means algorithm: insights and recommendations. IEEE Trans Fuzzy Syst 4(3):385\u2013393","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"11057_CR21","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1109\/91.531779","volume":"4","author":"R Krishnapuram","year":"2002","unstructured":"Krishnapuram R, Keller JM (2002) The possibilistic c-means algorithm: insights and recommendations. IEEE Trans Fuzzy Syst 4(3):385\u2013393","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"11057_CR22","unstructured":"MacQueen J (1967) Some methods for classification and analysis of multivariate observations. In: Proc. Symp. Math. Statist. Probab, Oakland, pp 281\u2013297"},{"key":"11057_CR23","unstructured":"MathWorks (2011) Image processing toolbox. http:\/\/www.mathworks.com"},{"key":"11057_CR24","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.fss.2018.01.019","volume":"340","author":"KH Memon","year":"2018","unstructured":"Memon KH, Lee DH (2018) Generalised kernel weighted fuzzy c-means clustering algorithm with local information. Fuzzy Sets Syst 340:91\u2013108","journal-title":"Fuzzy Sets Syst"},{"key":"11057_CR25","doi-asserted-by":"crossref","unstructured":"Miyamoto S (2000) Multisets and fuzzy multisets. In: Soft Comput. Human-Centered Mach. Springer, pp 9\u201333","DOI":"10.1007\/978-4-431-67907-3_2"},{"key":"11057_CR26","doi-asserted-by":"crossref","unstructured":"Pal NR, Pal K, Bezdek JC (1997) A mixed c-means clustering model. In: Proc. Int. Fuzzy Syst. Conf., vol\u00a01. IEEE, pp 11\u201321","DOI":"10.1109\/FUZZY.1997.616338"},{"issue":"4","key":"11057_CR27","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TFUZZ.2004.840099","volume":"13","author":"NR Pal","year":"2005","unstructured":"Pal NR, Pal K, Keller JM et al (2005) A possibilistic fuzzy c-means clustering algorithm. IEEE Trans Fuzzy Syst 13(4):517\u2013530","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"11057_CR28","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.ins.2020.08.094","volume":"547","author":"F Salehi","year":"2021","unstructured":"Salehi F, Keyvanpour MR, Sharifi A (2021) Smkfc-er: Semi-supervised multiple kernel fuzzy clustering based on entropy and relative entropy. Inf Sci 547:667\u2013688","journal-title":"Inf Sci"},{"key":"11057_CR29","first-page":"941","volume-title":"IEEE Congr","author":"R Shang","year":"2016","unstructured":"Shang R, Tian P, Wen A et al (2016) An intuitionistic fuzzy possibilistic c-means clustering based on genetic algorithm. IEEE Congr. Evol. Comput, CEC, pp 941\u2013947"},{"issue":"1","key":"11057_CR30","first-page":"151","volume":"24","author":"A Singh","year":"2021","unstructured":"Singh A, Kumar A, Upadhyay P (2021) A novel approach to incorporate local information in possibilistic c-means algorithm for an optical remote sensing imagery. Egypt J Remote Sens Space Sci 24(1):151\u2013161","journal-title":"Egypt J Remote Sens Space Sci"},{"key":"11057_CR31","doi-asserted-by":"crossref","unstructured":"Sirithinaphong T, Chamnongthai K (1998) Extraction of car license plate using motor vehicle regulation and character pattern recognition. In: Circuits Syst. IEEE, pp 559\u2013562","DOI":"10.1109\/APCCAS.1998.743881"},{"key":"11057_CR32","unstructured":"Sotudian S, Zarandi MHF (2021) Interval type-2 enhanced possibilistic fuzzy c-means clustering for gene expression data analysis. https:\/\/arxiv.org\/abs\/2101.00304"},{"key":"11057_CR33","doi-asserted-by":"crossref","unstructured":"Torra V, Narukawa Y (2009) On hesitant fuzzy sets and decision. In: IEEE Int. Conf. Fuzzy Syst. IEEE, pp 1378\u20131382","DOI":"10.1109\/FUZZY.2009.5276884"},{"key":"11057_CR34","doi-asserted-by":"crossref","unstructured":"Xing H, Chen H, Lin HY, et al (2021) An interval type-2 possibilistic c-means clustering algorithm and its application. J Phys Conf Ser 2132","DOI":"10.1088\/1742-6596\/2132\/1\/012016"},{"issue":"3","key":"11057_CR35","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1111\/j.1540-5915.1975.tb01046.x","volume":"6","author":"R Yager","year":"1975","unstructured":"Yager R, Basson D (1975) Decision making with fuzzy sets. Decis Sci 6(3):590\u2013600","journal-title":"Decis Sci"},{"issue":"1","key":"11057_CR36","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1080\/03081078608934952","volume":"13","author":"RR Yager","year":"1986","unstructured":"Yager RR (1986) On the theory of bags. Int J Gen Syst 13(1):23\u201337","journal-title":"Int J Gen Syst"},{"key":"11057_CR37","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.asoc.2017.12.024","volume":"64","author":"H Yu","year":"2018","unstructured":"Yu H, Fan J (2018) Cutset-type possibilistic c-means clustering algorithm. Appl Soft Comput 64:401\u2013422","journal-title":"Appl Soft Comput"},{"issue":"3","key":"11057_CR38","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338\u2013353","journal-title":"Inf Control"},{"issue":"3","key":"11057_CR39","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/0020-0255(75)90036-5","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-i. Inf Sci 8(3):199\u2013249","journal-title":"Inf Sci"},{"issue":"4","key":"11057_CR40","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/0020-0255(75)90046-8","volume":"8","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-ii. Inf Sci 8(4):301\u2013357","journal-title":"Inf Sci"},{"issue":"1","key":"11057_CR41","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/0020-0255(75)90017-1","volume":"9","author":"LA Zadeh","year":"1975","unstructured":"Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning-iii. Inf Sci 9(1):43\u201380","journal-title":"Inf Sci"},{"issue":"3","key":"11057_CR42","doi-asserted-by":"publisher","first-page":"3681","DOI":"10.3233\/JIFS-191973","volume":"39","author":"W Zeng","year":"2020","unstructured":"Zeng W, Ma R, Yin Q et al (2020) Hesitant fuzzy c-means algorithm and its application in image segmentation. J Intell Fuzzy Syst 39(3):3681\u20133695","journal-title":"J Intell Fuzzy Syst"},{"key":"11057_CR43","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.ins.2022.08.082","volume":"612","author":"W Zeng","year":"2022","unstructured":"Zeng W, Liu Y, Cui H et al (2022) Interval possibilistic c-means algorithm and its application in image segmentation. Inf Sci 612:465\u2013480","journal-title":"Inf Sci"},{"issue":"01","key":"11057_CR44","first-page":"101","volume":"26","author":"X Zhang","year":"2011","unstructured":"Zhang X, Wang S (2011) Mahalanobis distance-based possibilistic clustering algorithm and its analysis. J Data Acquisit Process 26(01):101\u2013105","journal-title":"J Data Acquisit Process"},{"issue":"11","key":"11057_CR45","first-page":"148","volume":"38","author":"H Zuo","year":"2010","unstructured":"Zuo H, Li W (2010) Improved pcm clustering algorithm and its application in image segmentation. Comput Digit Eng 38(11):148\u2013151","journal-title":"Comput Digit Eng"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-11057-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-024-11057-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-024-11057-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T03:46:06Z","timestamp":1738208766000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-024-11057-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,20]]},"references-count":45,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,2]]}},"alternative-id":["11057"],"URL":"https:\/\/doi.org\/10.1007\/s10462-024-11057-x","relation":{},"ISSN":["1573-7462"],"issn-type":[{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,20]]},"assertion":[{"value":"29 November 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"56"}}