{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:09:07Z","timestamp":1775470147330,"version":"3.50.1"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"24","license":[{"start":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T00:00:00Z","timestamp":1566000000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T00:00:00Z","timestamp":1566000000000},"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":[[2019,12]]},"DOI":"10.1007\/s11042-019-08094-y","type":"journal-article","created":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T22:02:22Z","timestamp":1566079342000},"page":"35263-35287","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Image segmentation using fuzzy competitive learning based counter propagation network"],"prefix":"10.1007","volume":"78","author":[{"given":"Siddharth Singh","family":"Chouhan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ajay","family":"Kaul","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Uday Pratap","family":"Singh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,17]]},"reference":[{"key":"8094_CR1","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.ijleo.2016.11.039","volume":"131","author":"S Abdel-Khalek","year":"2017","unstructured":"Abdel-Khalek S et al (2017) A two-dimensional image segmentation method based on genetic algorithm and entropy. Optik. 131:414\u2013422. https:\/\/doi.org\/10.1016\/j.ijleo.2016.11.039","journal-title":"Optik."},{"key":"8094_CR2","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.asoc.2017.01.003","volume":"54","author":"E Aghajari","year":"2017","unstructured":"Aghajari E, Chandrashekhar GD (2017) Self-organizing map based extended fuzzy C-means (SEEFC) algorithm for image segmentation. Appl Soft Comput 54:347\u2013363. https:\/\/doi.org\/10.1016\/j.asoc.2017.01.003","journal-title":"Appl Soft Comput"},{"issue":"5","key":"8094_CR3","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez P, Maire M, Fowlkes C, Malik J (2011) Contour detection and hierarchical image segmentation. IEEE Trans PAMI 33(5):898\u2013916","journal-title":"IEEE Trans PAMI"},{"issue":"7","key":"8094_CR4","doi-asserted-by":"publisher","first-page":"670","DOI":"10.17485\/ijst\/2015\/v8i7\/62862","volume":"8","author":"S Arumugadevi","year":"2015","unstructured":"Arumugadevi S, Seenivasagam V (2015) Comparison of clustering methods for segmenting color images. Indian J Sci Technol 8(7):670\u2013677","journal-title":"Indian J Sci Technol"},{"issue":"5","key":"8094_CR5","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/s11633-016-0975-5","volume":"13","author":"S Arumugadevi","year":"2016","unstructured":"Arumugadevi S, Seenivasagam V (2016) Color image segmentation using feedforward neural networks with FCM. Int J Autom Comput 13(5):491\u2013500. https:\/\/doi.org\/10.1007\/s11633-016-0975-5","journal-title":"Int J Autom Comput"},{"issue":"5","key":"8094_CR6","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1007\/s00521-012-1094-z","volume":"23","author":"T Bdiri","year":"2013","unstructured":"Bdiri T, Bouguila N (2013) Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation. Neural Comput Applic 23(5):1443\u20131458","journal-title":"Neural Comput Applic"},{"key":"8094_CR7","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1016\/j.asoc.2010.01.015","volume":"11","author":"S Bhattacharyya","year":"2010","unstructured":"Bhattacharyya S et al (2010) Multilevel image segmentation with adaptive image context based thresholding. Appl Soft Comput 11:946\u2013962. https:\/\/doi.org\/10.1016\/j.asoc.2010.01.015","journal-title":"Appl Soft Comput"},{"key":"8094_CR8","doi-asserted-by":"publisher","first-page":"339","DOI":"10.1007\/s00500-014-1256-2l","volume":"19","author":"VR Borges","year":"2015","unstructured":"Borges VR et al (2015) An iterative fuzzy region competition algorithm for multiphase image segmentation. Soft Comput 19:339\u2013351. https:\/\/doi.org\/10.1007\/s00500-014-1256-2l","journal-title":"Soft Comput"},{"issue":"3","key":"8094_CR9","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/s11831-018-9257-4","volume":"26","author":"Siddharth Singh Chouhan","year":"2018","unstructured":"Chouhan SS, Kaul A, Singh UP (2018) Image segmentation using computational intelligence techniques: review. Arch Comput Meth Eng. https:\/\/doi.org\/10.1007\/s11831-018-9257-4","journal-title":"Archives of Computational Methods in Engineering"},{"key":"8094_CR10","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.patcog.2017.03.009","volume":"68","author":"SK Choy","year":"2017","unstructured":"Choy SK, Shu YL, Yu KW et al (2017) Fuzzy model-based clustering and its application in image segmentation. Pattern Recogn 68:141\u2013157. https:\/\/doi.org\/10.1016\/j.patcog.2017.03.009","journal-title":"Pattern Recogn"},{"issue":"5","key":"8094_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/34.1000236","volume":"24","author":"D Comaniciu","year":"2002","unstructured":"Comaniciu D, Meer P (2002) Mean shift: a robust approach toward feature space analysis. IEEE Trans PAMI 24(5):1\u201318","journal-title":"IEEE Trans PAMI"},{"issue":"4","key":"8094_CR12","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1109\/TSMCA.2012.2223670","volume":"43","author":"J Cui","year":"2013","unstructured":"Cui J, Liu Y, Xu Y, Zhao H, Zha H (2013) Tracking generic human motion via fusion of low and high dimensional approaches. IEEE Trans Syst Man Cybern Syst 43(4):996\u20131002","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"8094_CR13","doi-asserted-by":"publisher","first-page":"3228","DOI":"10.1016\/j.asoc.2012.05.011","volume":"12","author":"S De","year":"2012","unstructured":"De S et al (2012) Color image segmentation using parallel OptiMUSIG activation function. Appl Soft Comput 12:3228\u20133236. https:\/\/doi.org\/10.1016\/j.asoc.2012.05.011","journal-title":"Appl Soft Comput"},{"issue":"5","key":"8094_CR14","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1109\/TNNLS.2012.2190298","volume":"23","author":"W Fan","year":"2012","unstructured":"Fan W, Bouguila N, Ziou D (2012) Variational learning for finite Dirichlet mixture models and applications. IEEE Trans Neural Netw Learn Syst 23(5):762\u2013774","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"8094_CR15","volume-title":"Multimedia and signal processing. Communications in Computer and Information Science","author":"Z Fu","year":"2012","unstructured":"Fu Z, Wang L (2012) Color image segmentation using Gaussian mixture model and EM algorithm. In: Wang FL, Lei J, Lau RWH, Zhang J (eds) Multimedia and signal processing. Communications in Computer and Information Science, vol 346. Springer, Berlin, Heidelberg"},{"issue":"3","key":"8094_CR16","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1007\/s11760-016-0992-4","volume":"11","author":"RR Gharieb","year":"2017","unstructured":"Gharieb RR, Gendy G, Abdelfattah A (2017) C-means clustering fuzzified by two membership relative entropy functions approach incorporating local data information for noisy image segmentation. SIViP 11(3):541\u2013548. https:\/\/doi.org\/10.1007\/s11760-016-0992-4","journal-title":"SIViP"},{"key":"8094_CR17","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1016\/j.asoc.2015.11.042","volume":"40","author":"AK Helmy","year":"2016","unstructured":"Helmy AK, El-Taweel GS (2016) Image segmentation scheme based on SOM\u2013PCNN in frequency domain. Appl Soft Comput 40:405\u2013415. https:\/\/doi.org\/10.1016\/j.asoc.2015.11.042","journal-title":"Appl Soft Comput"},{"issue":"4","key":"8094_CR18","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1007\/s10825-006-0145-z","volume":"5","author":"Y Huang","year":"2006","unstructured":"Huang Y, Long Y (2006) Super-resolution using neural networks based on the optimal recovery theory. J Comput Electron 5(4):275\u2013281","journal-title":"J Comput Electron"},{"key":"8094_CR19","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.neucom.2016.03.046","volume":"207","author":"XL Jiang","year":"2016","unstructured":"Jiang XL, Qiang W, Biao H et al (2016) Robust level set image segmentation algorithm using local correntropy-based fuzzy c-means clustering with spatial constraints. Neurocomputing. 207:22\u201335. https:\/\/doi.org\/10.1016\/j.neucom.2016.03.046","journal-title":"Neurocomputing."},{"key":"8094_CR20","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.asoc.2015.03.029","volume":"32","author":"A Khan","year":"2015","unstructured":"Khan A, Muhammad A (2015) Genetic algorithm and self organizing map based fuzzy hybrid intelligent method for color image segmentation. Appl Soft Comput 32:300\u2013310. https:\/\/doi.org\/10.1016\/j.asoc.2015.03.029","journal-title":"Appl Soft Comput"},{"key":"8094_CR21","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1016\/j.asoc.2015.12.040","volume":"46","author":"D Konar","year":"2016","unstructured":"Konar D et al (2016) A quantum bi-directional self-organizing neural network (QBDSONN) architecture for binary object extraction from a noisy perspective. Appl Soft Comput 46:731\u2013752. https:\/\/doi.org\/10.1016\/j.asoc.2015.12.040","journal-title":"Appl Soft Comput"},{"key":"8094_CR22","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s00500-009-0442-0","volume":"14","author":"Y Li","year":"2014","unstructured":"Li Y, Shen Y (2014) An automatic fuzzy c-means algorithm for image segmentation. Soft Comput 14:123\u2013128. https:\/\/doi.org\/10.1007\/s00500-009-0442-0","journal-title":"Soft Comput"},{"key":"8094_CR23","doi-asserted-by":"publisher","first-page":"6438","DOI":"10.1109\/ACCESS.2016.2613940","volume":"4","author":"L Li","year":"2016","unstructured":"Li L et al (2016) Fuzzy multilevel image thresholding based on modified discrete Grey wolf optimizer and local information aggregation. IEEE Access 4:6438\u20136450. https:\/\/doi.org\/10.1109\/ACCESS.2016.2613940","journal-title":"IEEE Access"},{"key":"8094_CR24","doi-asserted-by":"publisher","unstructured":"Liu Y, Zhang X, Cui J, Wu C, Hamid A, Zha H (2010) Visual analysis of child-adult interactive behaviors in video sequences, 16th International Conference on Virtual Systems and Multimedia (VSMM). https:\/\/doi.org\/10.1109\/VSMM.2010.5665969 .","DOI":"10.1109\/VSMM.2010.5665969"},{"key":"8094_CR25","unstructured":"Liu Y, Zheng Y, Liang Y, Liu S, Rosenblum DS (2016) Urban water quality prediction based on multi-task multi-view learning. Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), p 2576-2582"},{"key":"8094_CR26","doi-asserted-by":"crossref","unstructured":"Liu L, Cheng L, Liu Y, Jia Y, Rosenblum DS (2016) Recognizing complex activities by a probabilistic interval-based model. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), p 1266-1272","DOI":"10.1609\/aaai.v30i1.10155"},{"key":"8094_CR27","doi-asserted-by":"crossref","unstructured":"Liu Y, Zhang L, Nie L, Yan Y, Rosenblum DS (2016) Fortune teller: predicting your career path, Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16)","DOI":"10.1609\/aaai.v30i1.9969"},{"key":"8094_CR28","doi-asserted-by":"crossref","unstructured":"Long Y, Huang Y (2006) Image based source camera identification using demosaicking. In: Proceedings of IEEE 8th workshop on multimedia signal processing, Victoria, Canada, p 419-424","DOI":"10.1109\/MMSP.2006.285343"},{"issue":"1","key":"8094_CR29","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/TSMCB.2004.837756","volume":"35","author":"S Makrogiannis","year":"2005","unstructured":"Makrogiannis S, Economou G, Fotopoulos S (2005) A region dissimilarity relation that combines feature-space and spatial information for color image segmentation. IEEE Trans Syst Man Cybern B 35(1):44\u201353","journal-title":"IEEE Trans Syst Man Cybern B"},{"key":"8094_CR30","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1007\/978-3-540-69731-2_62","volume":"5097","author":"T Maszczyk","year":"2008","unstructured":"Maszczyk T, Duch W (2008) Comparison of Shannon, Renyi and Tsallis entropy used in decision trees. Lect Notes Comput Sci 5097:643\u2013651","journal-title":"Lect Notes Comput Sci"},{"key":"8094_CR31","doi-asserted-by":"crossref","unstructured":"Moeskops P, Viergever MA, Benders MJNL, Isgum I (2015) Evaluation of an automatic brain segmentation method developed for neonates on adult MR brain images. In: SPIE Medical Imaging, International Society for Optics and Photonics","DOI":"10.1117\/12.2081833"},{"issue":"C","key":"8094_CR32","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(C):191\u2013215. https:\/\/doi.org\/10.1016\/j.asoc.2016.05.026","journal-title":"Appl Soft Comput"},{"issue":"10","key":"8094_CR33","first-page":"3436","volume":"2","author":"S Nandagopalan","year":"2008","unstructured":"Nandagopalan S, Adiga BS, Deepak N (2008) A universal model for content-based image retrieval. International Journal of Computer and Information Engineering 2(10):3436\u20133439","journal-title":"International Journal of Computer and Information Engineering"},{"key":"8094_CR34","unstructured":"Opbroek AV, vander Lijn F, de Bruijne M et al (2013) Automated brain-tissue segmentation by multi-feature SVM classification, Bigr. Nl, 2013"},{"issue":"3","key":"8094_CR35","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MCS.2002.1004010","volume":"22","author":"KM Passino","year":"2002","unstructured":"Passino KM (2002) Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Syst Mag 22(3):52\u201367","journal-title":"IEEE Control Syst Mag"},{"issue":"2","key":"8094_CR36","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1007\/s40815-016-0145-5","volume":"19","author":"V Sakhre","year":"2017","unstructured":"Sakhre V, Singh UP, Jain S (2017) FCPN approach for uncertain nonlinear dynamical system with unknown disturbance. Int J Fuzzy Syst 19(2):452\u2013469. https:\/\/doi.org\/10.1007\/s40815-016-0145-5","journal-title":"Int J Fuzzy Syst"},{"key":"8094_CR37","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/978-3-319-02931-3_12","volume-title":"Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013","author":"Asim Sayed","year":"2014","unstructured":"Sayed A, Sardeshmukh M, Limkar S (2014) Optimisation Using Levenberg-Marquardt Algorithm of Neural Networks for Iris. In: Satapathy S, Udgata S, Biswal B (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013. Advances in Intelligent Systems and Computing, vol. 247. Springer, Cham"},{"issue":"8","key":"8094_CR38","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J Shi","year":"2000","unstructured":"Shi J, Malik J (2000) Normalized cuts and image segmentation. IEEE Trans PAMI 22(8):888\u2013905","journal-title":"IEEE Trans PAMI"},{"key":"8094_CR39","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.patcog.2017.03.012","volume":"68","author":"Y Shibai","year":"2017","unstructured":"Shibai Y, Yiming Q, Gong M (2017) Unsupervised hierarchical image segmentation through fuzzy entropy maximization. Pattern Recogn 68:245\u2013269. https:\/\/doi.org\/10.1016\/j.patcog.2017.03.012","journal-title":"Pattern Recogn"},{"issue":"3","key":"8094_CR40","doi-asserted-by":"publisher","first-page":"1650016","DOI":"10.1142\/S1469026816500164","volume":"15","author":"UP Singh","year":"2016","unstructured":"Singh UP, Jain S (2016) Modified chaotic bat algorithm-based counter propagation neural network for uncertain nonlinear discrete time system. Int J Comput Intell Appl 15(3):1650016. https:\/\/doi.org\/10.1142\/S1469026816500164","journal-title":"Int J Comput Intell Appl"},{"issue":"8","key":"8094_CR41","doi-asserted-by":"publisher","first-page":"2667","DOI":"10.1007\/s00500-017-2522-x","volume":"22","author":"UP Singh","year":"2018","unstructured":"Singh UP, Jain S (2018) Optimization of neural network for nonlinear discrete time system using modified quaternion firefly algorithm: case study of Indian currency exchange rate prediction. Soft Comput 22(8):2667\u20132681. https:\/\/doi.org\/10.1007\/s00500-017-2522-x","journal-title":"Soft Comput"},{"issue":"13","key":"8094_CR42","doi-asserted-by":"publisher","first-page":"4955","DOI":"10.1007\/s00500-018-3160-7","volume":"23","author":"Uday Pratap Singh","year":"2018","unstructured":"Singh UP, Jain S, Tiwari A, Singh RK (2018) Gradient evolution-based counter propagation network for approximation of noncanonical system. Soft Comput. https:\/\/doi.org\/10.1007\/s00500-018-3160-7","journal-title":"Soft Computing"},{"issue":"1","key":"8094_CR43","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.imavis.2009.06.007","volume":"28","author":"Z Wang","year":"2010","unstructured":"Wang Z, Ma Y, Cheng F, Yang L (2010) Review of pulse-coupled neural networks. Image Vis Comput 28(1):5\u201313","journal-title":"Image Vis Comput"},{"key":"8094_CR44","first-page":"160","volume":"108","author":"L Wang","year":"2015","unstructured":"Wang L, Gao Y, Shi F, Li G et al (2015) Learning-based multi-source integration framework for segmentation of infant brain images. Neuro image 108:160\u2013172","journal-title":"Neuro image"},{"issue":"5","key":"8094_CR45","doi-asserted-by":"publisher","first-page":"1382","DOI":"10.1109\/TSMCB.2007.902249","volume":"37","author":"T Wenbing","year":"2007","unstructured":"Wenbing T, Hai J, Yimin Z (2007) Color image segmentation based on mean shift and normalized cuts. IEEE Trans Syst Man Cybern B 37(5):1382\u20131389","journal-title":"IEEE Trans Syst Man Cybern B"},{"issue":"1","key":"8094_CR46","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s11704-015-4543-x","volume":"10","author":"J Zhao","year":"2016","unstructured":"Zhao J, Ji G, Han X (2016) An automated pulmonary parenchyma segmentation method based on an improved region growing algorithm in PET-CT imaging. Front Comp Sci 10(1):189\u2013200. https:\/\/doi.org\/10.1007\/s11704-015-4543-x","journal-title":"Front Comp Sci"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08094-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-08094-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-08094-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T21:16:23Z","timestamp":1664140583000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-08094-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,17]]},"references-count":46,"journal-issue":{"issue":"24","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["8094"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-08094-y","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,17]]},"assertion":[{"value":"4 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 August 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}