{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:58:42Z","timestamp":1760597922619},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T00:00:00Z","timestamp":1572825600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T00:00:00Z","timestamp":1572825600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,1]]},"DOI":"10.1007\/s11042-019-08207-7","type":"journal-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T06:03:01Z","timestamp":1572847381000},"page":"1535-1554","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Fuzzy energy based active contour model for multi-region image segmentation"],"prefix":"10.1007","volume":"79","author":[{"given":"Ajoy","family":"Mondal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,4]]},"reference":[{"issue":"2","key":"8207_CR1","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/TPAMI.2011.130","volume":"34","author":"S Alpert","year":"2011","unstructured":"Alpert S, Galun M, Brandt A, Basri R (2011) Image segmentation by probabilistic bottom-up aggregation and cue integration. IEEE Trans Pattern Anal Mach Intell 34(2):315\u2013327","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"8207_CR2","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1215\/ijm\/1256049011","volume":"21","author":"K Appel","year":"1977","unstructured":"Appel K, Haken W (1977) . Ill J Math 21(3):429\u2013490","journal-title":"Ill J Math"},{"issue":"5","key":"8207_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, Malik J (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"},{"key":"8207_CR4","doi-asserted-by":"crossref","unstructured":"Bae E, Tai X C (2009) Graph cut optimization for the piecewise constant level set method applied to multiphase image segmentation. In: International conference on scale space and variational methods in computer vision, pp 1\u201313. Springer","DOI":"10.1007\/978-3-642-02256-2_1"},{"key":"8207_CR5","doi-asserted-by":"crossref","unstructured":"Bezdek J C (1981) Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers","DOI":"10.1007\/978-1-4757-0450-1"},{"issue":"3","key":"8207_CR6","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.patcog.2006.07.011","volume":"40","author":"W Cai","year":"2007","unstructured":"Cai W, Chen S, Zhang D (2007) Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recogn 40 (3):825\u2013838","journal-title":"Pattern Recogn"},{"issue":"1","key":"8207_CR7","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/BF01385685","volume":"66","author":"V Caselles","year":"1993","unstructured":"Caselles V, Catt\u00e9 F, Coll T, Dibos F (1993) A geometric model for active contours in image processing. Numer Math 66(1):1\u201331","journal-title":"Numer Math"},{"issue":"1","key":"8207_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1023\/A:1007979827043","volume":"22","author":"V Caselles","year":"1997","unstructured":"Caselles V, Kimmel R, Sapiro G (1997) Geodesic active contours. Int J Comput Vis 22(1):61\u201379","journal-title":"Int J Comput Vis"},{"issue":"2","key":"8207_CR9","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1109\/83.902291","volume":"10","author":"TF Chan","year":"2001","unstructured":"Chan T F, Vese L A (2001) Active contours without edges. IEEE Trans Image Process 10(2):266\u2013277","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"8207_CR10","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s11263-006-8711-1","volume":"72","author":"D Cremers","year":"2007","unstructured":"Cremers D, Rousson M, Deriche R (2007) A review of statistical approaches to level set segmentation: Integrating color, texture, motion and shape. Int J Comput Vis 72(2):195\u2013215","journal-title":"Int J Comput Vis"},{"issue":"8","key":"8207_CR11","doi-asserted-by":"publisher","first-page":"1585","DOI":"10.1109\/TPAMI.2014.2385708","volume":"37","author":"A Dubrovina-Karni","year":"2015","unstructured":"Dubrovina-Karni A, Rosman G, Kimmel R (2015) Multi-region active contours with a single level set function. IEEE Trans Pattern Anal Mach Intell 37(8):1585\u20131601","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"8207_CR12","unstructured":"Fox C W (1988) An introduction to the calculus of variations. Dover Publications Inc"},{"issue":"2","key":"8207_CR13","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, Ma W, Ma J (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"},{"key":"8207_CR14","unstructured":"Gonzalez R F, Woods R E (2008) Digital image processing, Pearson Education, Singapore"},{"key":"8207_CR15","doi-asserted-by":"crossref","unstructured":"He L, Osher S (2007) Solving the chan-vese model by a multiphase level set algorithm based on the topological derivative. In: International conference on scale space and variational methods in computer vision, pp 777\u2013788. Springer","DOI":"10.1007\/978-3-540-72823-8_67"},{"issue":"4","key":"8207_CR16","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/BF00133570","volume":"1","author":"M Kass","year":"1988","unstructured":"Kass M, Witkin A, Terzopoulos D (1988) Snakes: Active contour models. Int J Comput Vis 1(4):321\u2013331","journal-title":"Int J Comput Vis"},{"issue":"12","key":"8207_CR17","doi-asserted-by":"publisher","first-page":"2747","DOI":"10.1109\/TIP.2009.2030468","volume":"18","author":"S Krinidis","year":"2009","unstructured":"Krinidis S, Chatzis V (2009) Fuzzy energy-based active contours. IEEE Trans Image Process 18(12):2747\u20132755","journal-title":"IEEE Trans Image Process"},{"issue":"5","key":"8207_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"},{"key":"8207_CR19","first-page":"175","volume-title":"IFIP Advances in Information and Communication Technology","author":"Stelios Krinidis","year":"2012","unstructured":"Krinidis S, Krinidis M (2012) Fuzzy energy-based active contours exploiting local information. In: 8th International conference on artificial intelligence applications and innovations (AIAI\u201912), pp 27\u201330"},{"issue":"10","key":"8207_CR20","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1109\/TIP.2008.2002304","volume":"17","author":"C Li","year":"2008","unstructured":"Li C, Kao C Y, Gore J C, Ding Z (2008) Minimization of region-scalable fitting energy for image segmentation. IEEE Trans Image Process 17(10):1940\u20131949","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"8207_CR21","doi-asserted-by":"publisher","first-page":"3243","DOI":"10.1109\/TIP.2010.2069690","volume":"19","author":"C Li","year":"2010","unstructured":"Li C, Xu C, Gui C, Fox M D (2010) Distance regularized level set evolution and its application to image segmentation. IEEE Trans Image Process 19(12):3243\u20133254","journal-title":"IEEE Trans Image Process"},{"issue":"6","key":"8207_CR22","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1016\/j.patrec.2013.01.005","volume":"34","author":"W Liu","year":"2013","unstructured":"Liu W, Shang Y, Yang X (2013) Active contour model driven by local histogram fitting energy. Pattern Recogn Lett 34(6):655\u2013662","journal-title":"Pattern Recogn Lett"},{"key":"8207_CR23","doi-asserted-by":"crossref","unstructured":"Lucas B C, Kazhdan M, Taylor R H (2012) Multi-object spring level sets (muscle). In: International conference on medical image computing and computer-assisted intervention, pp 495\u2013503. Springer","DOI":"10.1007\/978-3-642-33415-3_61"},{"key":"8207_CR24","doi-asserted-by":"crossref","unstructured":"Martin D, Fowlkes C, Tal D, Malik J, et al. (2001) A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In: International conference on computer vision (ICCV), vol 2, pp 416\u2013423","DOI":"10.1109\/ICCV.2001.937655"},{"key":"8207_CR25","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.asoc.2016.05.026","volume":"47","author":"A Mondal","year":"2016","unstructured":"Mondal A, Ghosh S, Ghosh A (2016) Robust global and local fuzzy energy based active contour for image segmentation. Appl Soft Comput 47:191\u2013215","journal-title":"Appl Soft Comput"},{"key":"8207_CR26","doi-asserted-by":"crossref","unstructured":"Mondal A, Murthy K R, Ghosh A, Ghosh S (2016) Robust image segmentation using global and local fuzzy energy based active contour. In: 2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), pp 1341\u20131348","DOI":"10.1109\/FUZZ-IEEE.2016.7737845"},{"issue":"5","key":"8207_CR27","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/cpa.3160420503","volume":"42","author":"D Mumford","year":"1989","unstructured":"Mumford D, Shah J (1989) Optimal approximations by piecewise smooth functions and associated variational problems. Commun Pure Appl Math 42(5):577\u2013685","journal-title":"Commun Pure Appl Math"},{"issue":"8","key":"8207_CR28","doi-asserted-by":"publisher","first-page":"3734","DOI":"10.1109\/TIP.2012.2191566","volume":"21","author":"TNA Nguyen","year":"2012","unstructured":"Nguyen T N A, Cai J, Zhang J, Zheng J (2012) Robust interactive image segmentation using convex active contours. IEEE Trans Image Process 21(8):3734\u20133743","journal-title":"IEEE Trans Image Process"},{"key":"8207_CR29","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11760-007-0032-5","volume":"1","author":"AD Santis","year":"2007","unstructured":"Santis A D, Iacoviello D (2007) A discrete level set approach to image segmentation. SIViP 1:303\u2013320","journal-title":"SIViP"},{"key":"8207_CR30","doi-asserted-by":"crossref","unstructured":"Saraswathi S, Allirani A (2013) Survey on image segmentation via clustering. In: IEEE international conference on information communication and embedded systems (ICICES), pp 331\u2013335","DOI":"10.1109\/ICICES.2013.6508376"},{"issue":"2","key":"8207_CR31","doi-asserted-by":"publisher","first-page":"1559","DOI":"10.1007\/s11071-011-0088-1","volume":"67","author":"KK Shyu","year":"2012","unstructured":"Shyu K K, Pham V T, Tran T T, Lee P L (2012) Global and local fuzzy energy-based active contours for image segmentation. Nonlinear Dyn 67(2):1559\u20131578","journal-title":"Nonlinear Dyn"},{"key":"8207_CR32","first-page":"02","volume":"68","author":"B Song","year":"2002","unstructured":"Song B, Chan T (2002) A fast algorithm for level set based optimization. CAM-UCLA 68:02\u201368","journal-title":"CAM-UCLA"},{"key":"8207_CR33","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/s11760-017-1134-3","volume":"12","author":"W Sun","year":"2018","unstructured":"Sun W, Dong E, Qiao H (2018) A fuzzy energy-based active contour model with adaptive contrast constraint for local segmentation. SIViP 12:91\u201398","journal-title":"SIViP"},{"issue":"7","key":"8207_CR34","doi-asserted-by":"publisher","first-page":"1732","DOI":"10.1016\/j.jvcir.2014.06.006","volume":"25","author":"TT Tran","year":"2014","unstructured":"Tran T T, Pham V T, Shyu K K (2014) Image segmentation using fuzzy energy-based active contour with shape prior. J Vis Commun Image Represent 25 (7):1732\u20131745","journal-title":"J Vis Commun Image Represent"},{"issue":"3","key":"8207_CR35","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1023\/A:1020874308076","volume":"50","author":"LA Vese","year":"2002","unstructured":"Vese L A, Chan T F (2002) A multiphase level set framework for image segmentation using the mumford and shah model. Int J Comput Vis 50(3):271\u2013293","journal-title":"Int J Comput Vis"},{"key":"8207_CR36","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/j.asoc.2015.04.058","volume":"34","author":"Y Wu","year":"2015","unstructured":"Wu Y, Ma W, Gong M, Li H, Jiao L (2015) Novel fuzzy active contour model with kernel metric for image segmentation. Appl Soft Comput 34:301\u2013311","journal-title":"Appl Soft Comput"},{"key":"8207_CR37","doi-asserted-by":"publisher","first-page":"521","DOI":"10.1007\/s11760-011-0254-4","volume":"7","author":"Z Xie","year":"2013","unstructured":"Xie Z, Wang S, Hu D (2013) New insight at level set and gaussian mixture model for natural image segmentation. SIViP 7:521\u2013536","journal-title":"SIViP"},{"issue":"4","key":"8207_CR38","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.patcog.2009.10.010","volume":"43","author":"K Zhang","year":"2010","unstructured":"Zhang K, Song H, Zhang L (2010) Active contours driven by local image fitting energy. Pattern Recogn 43(4):1199\u20131206","journal-title":"Pattern Recogn"},{"issue":"4","key":"8207_CR39","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.imavis.2009.10.009","volume":"28","author":"K Zhang","year":"2010","unstructured":"Zhang K, Zhang L, Song H, Zhou W (2010) Active contours with selective local or global segmentation: a new formulation and level set method. Image Vis Comput 28(4):668\u2013676","journal-title":"Image Vis Comput"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08207-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-08207-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08207-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,3]],"date-time":"2020-11-03T00:19:00Z","timestamp":1604362740000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-08207-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,4]]},"references-count":39,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["8207"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-08207-7","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,4]]},"assertion":[{"value":"7 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 September 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 November 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}