{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T21:13:21Z","timestamp":1723238001618},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2017,12,1]],"date-time":"2017-12-01T00:00:00Z","timestamp":1512086400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Applied Soft Computing"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1016\/j.asoc.2017.08.039","type":"journal-article","created":{"date-parts":[[2017,8,25]],"date-time":"2017-08-25T08:18:04Z","timestamp":1503649084000},"page":"570-592","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":79,"special_numbering":"C","title":["An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy"],"prefix":"10.1016","volume":"61","author":[{"given":"S.","family":"Pare","sequence":"first","affiliation":[]},{"given":"A.","family":"Kumar","sequence":"additional","affiliation":[]},{"given":"V.","family":"Bajaj","sequence":"additional","affiliation":[]},{"given":"G.K.","family":"Singh","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.asoc.2017.08.039_bib0005","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.asoc.2015.05.016","article-title":"Color image segmentation based on multiobjective artificial bee colony optimization","volume":"34","author":"Sa\u011f","year":"2015","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2017.08.039_bib0010","first-page":"1","article-title":"Segmentation fusion based on neighboring information for MR brain images","author":"Feng","year":"2016","journal-title":"Multimedia Tools Appl."},{"issue":"19","key":"10.1016\/j.asoc.2017.08.039_bib0015","doi-asserted-by":"crossref","first-page":"5588","DOI":"10.1016\/j.ijleo.2014.07.002","article-title":"A novel multi-scale segmentation algorithm for high resolution remote sensing images based on wavelet transform and improved JSEG algorithm","volume":"125","author":"Wang","year":"2014","journal-title":"Optik-Int. J. Light Electron Opt."},{"issue":"24","key":"10.1016\/j.asoc.2017.08.039_bib0020","doi-asserted-by":"crossref","first-page":"5320","DOI":"10.1016\/j.ijleo.2015.09.006","article-title":"Agricultural image target segmentation based on fuzzy set","volume":"126","author":"Gao","year":"2015","journal-title":"Optik-Int. J. Light Electron Opt."},{"issue":"5","key":"10.1016\/j.asoc.2017.08.039_bib0025","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.engappai.2009.09.011","article-title":"A comparative study of various meta-heuristic techniques applied to the multilevel thresholding problem","volume":"23","author":"Hammouche","year":"2010","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"12","key":"10.1016\/j.asoc.2017.08.039_bib0030","doi-asserted-by":"crossref","first-page":"2259","DOI":"10.1016\/S0031-3203(00)00149-7","article-title":"Color image segmentation: advances and prospects","volume":"34","author":"Cheng","year":"2001","journal-title":"Pattern Recogn."},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0035","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1117\/1.1631315","article-title":"Survey over image thresholding techniques and quantitative performance evaluation","volume":"13","author":"Sezgin","year":"2004","journal-title":"J. Electron. Imaging"},{"issue":"6","key":"10.1016\/j.asoc.2017.08.039_bib0040","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1049\/ip-vis:20050032","article-title":"Survey and comparative analysis of entropy and relative entropy thresholding techniques","volume":"153","author":"Chang","year":"2006","journal-title":"IEE, Proc. Vis. Image Signal Process. IET"},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0045","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A threshold selection method from gray-level histograms","volume":"SMC-9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"10.1016\/j.asoc.2017.08.039_bib0050","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","article-title":"A new method for gray-level picture thresholding using the entropy of the histogram","volume":"29","author":"Kapur","year":"1985","journal-title":"Comput. Vis. Graph. Image Process."},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0055","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/0734-189X(89)90051-0","article-title":"Automatic thresholding of gray-level pictures using two-dimensional entropy","volume":"47","author":"Abutaleb","year":"1989","journal-title":"Comput. Vis Graph Image Process."},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0060","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0031-3203(96)00065-9","article-title":"Threshold selection using R\u00e9nyi's entropy","volume":"30","author":"Sahoo","year":"1997","journal-title":"Pattern Recogn."},{"issue":"4","key":"10.1016\/j.asoc.2017.08.039_bib0065","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/0031-3203(95)00111-5","article-title":"On minimum cross-entropy thresholding","volume":"29","author":"Pal","year":"1996","journal-title":"Pattern Recogn."},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0070","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.ijleo.2015.09.194","article-title":"The two-dimensional double-entropy threshold based on the parallel genetic simulated annealing algorithms","volume":"127","author":"He","year":"2016","journal-title":"Optik-Int. J. Light Electron Opt."},{"key":"10.1016\/j.asoc.2017.08.039_bib0075","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.knosys.2014.04.006","article-title":"Multi-level thresholding using quantum inspired meta-heuristics","volume":"67","author":"Dey","year":"2014","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.asoc.2017.08.039_bib0080","article-title":"New quantum inspired meta-heuristic techniques for multi-level colour image thresholding","author":"Dey","year":"2015","journal-title":"Appl. Soft Comput."},{"issue":"4","key":"10.1016\/j.asoc.2017.08.039_bib0085","doi-asserted-by":"crossref","first-page":"934","DOI":"10.1109\/TIM.2009.2030931","article-title":"Multilevel thresholding for image segmentation through an improved quantum behaved particle swarm algorithm","volume":"59","author":"Gao","year":"2013","journal-title":"IEEE Trans. Instrum. Meas."},{"issue":"2","key":"10.1016\/j.asoc.2017.08.039_bib0090","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.jocs.2013.07.001","article-title":"Segmentation of color lip images by optimal thresholding using bacterial foraging optimization (BFO)","volume":"5","author":"Bakhshali","year":"2014","journal-title":"J. Comput. Sci."},{"key":"10.1016\/j.asoc.2017.08.039_bib0095","first-page":"1","article-title":"A hybrid bio-inspired learning algorithm for image segmentation using multilevel thresholding","author":"Dehshibi","year":"2016","journal-title":"Multimedia Tools Appl."},{"key":"10.1016\/j.asoc.2017.08.039_bib0100","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.asoc.2014.05.037","article-title":"Comparison of evolutionary and swarm based computational techniques for multilevel color image thresholding","volume":"23","author":"Kurban","year":"2014","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.asoc.2017.08.039_bib0105","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.patrec.2014.11.009","article-title":"A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution","volume":"54","author":"Sarkar","year":"2015","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.asoc.2017.08.039_bib0110","first-page":"1","article-title":"Multilevel image segmentation based on fractional-order Darwinian particle swarm optimization","author":"Ghamisi","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"7","key":"10.1016\/j.asoc.2017.08.039_bib0115","doi-asserted-by":"crossref","first-page":"3538","DOI":"10.1016\/j.eswa.2013.10.059","article-title":"Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy","volume":"41","author":"Bhandari","year":"2014","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"10.1016\/j.asoc.2017.08.039_bib0120","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1016\/j.eswa.2014.09.049","article-title":"Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur\u2019s, Otsu and Tsallis functions","volume":"42","author":"Bhandari","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2017.08.039_bib0125","first-page":"730","article-title":"Satellite image segmentation based on different objective functions using genetic algorithm: a comparative study","author":"Pare","year":"2015","journal-title":"IEEE International Conference on Digital Signal Processing (DSP)"},{"issue":"22","key":"10.1016\/j.asoc.2017.08.039_bib0130","doi-asserted-by":"crossref","first-page":"8707","DOI":"10.1016\/j.eswa.2015.07.025","article-title":"Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms","volume":"42","author":"Bhandari","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2017.08.039_bib0135","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.eswa.2016.06.044","article-title":"A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms","volume":"63","author":"Bhandari","year":"2016","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2017.08.039_bib0140","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.asoc.2016.05.040","article-title":"A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve","volume":"47","author":"Pare","year":"2016","journal-title":"Appl. Soft Comput."},{"issue":"8","key":"10.1016\/j.asoc.2017.08.039_bib0145","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1016\/S0167-8655(98)00057-9","article-title":"An iterative algorithm for minimum cross entropy thresholding","volume":"19","author":"Li","year":"1998","journal-title":"Pattern Recognit. Lett."},{"issue":"2","key":"10.1016\/j.asoc.2017.08.039_bib0150","first-page":"503","article-title":"Multilevel minimum cross entropy threshold selection based on particle swarm optimization","volume":"184","author":"Yin","year":"2007","journal-title":"Appl. Math. Comput."},{"key":"10.1016\/j.asoc.2017.08.039_bib0155","first-page":"3302","article-title":"A multilevel image thresholding using the honey bee mating optimization","volume":"215","author":"Horng","year":"2010","journal-title":"Appl. Math. Comput."},{"issue":"8","key":"10.1016\/j.asoc.2017.08.039_bib0160","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1016\/j.knosys.2011.02.013","article-title":"An improved scheme for minimum cross entropy threshold selection based on genetic algorithm","volume":"24","author":"Tang","year":"2011","journal-title":"Knowl. Based Syst."},{"issue":"11","key":"10.1016\/j.asoc.2017.08.039_bib0165","first-page":"13785","article-title":"Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation","volume":"38","author":"Horng","year":"2011","journal-title":"Expert Syst. Appl."},{"issue":"12","key":"10.1016\/j.asoc.2017.08.039_bib0170","doi-asserted-by":"crossref","first-page":"14805","DOI":"10.1016\/j.eswa.2011.05.069","article-title":"Multilevel minimum cross entropy threshold selection based on the firefly algorithm","volume":"38","author":"Horng","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.asoc.2017.08.039_bib0175","first-page":"210","article-title":"Cuckoo search via L\u00e9vy flights","author":"Yang","year":"2009","journal-title":"IEEE Conference on Nature & Biologically Inspired Computing (NaBIC)"},{"key":"10.1016\/j.asoc.2017.08.039_bib0180","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.swevo.2013.02.001","article-title":"Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm","volume":"11","author":"Agrawal","year":"2013","journal-title":"Swarm Evol. Comput."},{"key":"10.1016\/j.asoc.2017.08.039_bib0185","first-page":"1","article-title":"A conceptual comparison of the cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms","author":"Civicioglu","year":"2013","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.asoc.2017.08.039_bib0190","series-title":"Cuckoo Search and Firefly Algorithm","first-page":"115","article-title":"Cuckoo search and firefly algorithm applied to multilevel image thresholding","author":"Brajevic","year":"2014"},{"issue":"1","key":"10.1016\/j.asoc.2017.08.039_bib0195","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","article-title":"A comparative study of artificial bee colony algorithm","volume":"214","author":"Karaboga","year":"2009","journal-title":"Appl. Math Comput."},{"issue":"6","key":"10.1016\/j.asoc.2017.08.039_bib0200","doi-asserted-by":"crossref","first-page":"2066","DOI":"10.1109\/TCYB.2013.2239988","article-title":"Differential evolution with ranking-based mutation operators","volume":"43","author":"Gong","year":"2013","journal-title":"IEEE Trans. Cybern."},{"issue":"3","key":"10.1016\/j.asoc.2017.08.039_bib0205","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MCS.2002.1004010","article-title":"Biomimicry of bacterial foraging for distributed optimization and control","volume":"22","author":"Passino","year":"2002","journal-title":"IEEE Trans. Control Syst. Mag."},{"issue":"12","key":"10.1016\/j.asoc.2017.08.039_bib0210","doi-asserted-by":"crossref","first-page":"15549","DOI":"10.1016\/j.eswa.2011.06.004","article-title":"Optimal multilevel thresholding using bacterial foraging algorithm","volume":"38","author":"Sathya","year":"2011","journal-title":"Expert Syste. Appl."}],"container-title":["Applied Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494617305215?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1568494617305215?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T19:44:19Z","timestamp":1659383059000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1568494617305215"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,12]]},"references-count":42,"alternative-id":["S1568494617305215"],"URL":"http:\/\/dx.doi.org\/10.1016\/j.asoc.2017.08.039","relation":{},"ISSN":["1568-4946"],"issn-type":[{"value":"1568-4946","type":"print"}],"subject":[],"published":{"date-parts":[[2017,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy","name":"articletitle","label":"Article Title"},{"value":"Applied Soft Computing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.asoc.2017.08.039","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}
