{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T12:21:18Z","timestamp":1771935678413,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"16","license":[{"start":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T00:00:00Z","timestamp":1556323200000},"content-version":"tdm","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":[[2019,8]]},"DOI":"10.1007\/s11042-019-7515-6","type":"journal-article","created":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T11:04:10Z","timestamp":1556363050000},"page":"23003-23027","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Image segmentation using multilevel thresholding based on modified bird mating optimization"],"prefix":"10.1007","volume":"78","author":[{"given":"Maliheh","family":"Ahmadi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kamran","family":"Kazemi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ardalan","family":"Aarabi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taher","family":"Niknam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Sadegh","family":"Helfroush","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,4,27]]},"reference":[{"key":"7515_CR1","doi-asserted-by":"crossref","unstructured":"Agrawal S, Panda R, Bhuyan S, Panigrahi BKJS, Computation E (2013) Tsallis entropy based optimal multilevel thresholding using cuckoo search algorithm. 11:16\u201330","DOI":"10.1016\/j.swevo.2013.02.001"},{"key":"7515_CR2","unstructured":"Akay BJASC (2013) A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding. 13 (6):3066\u20133091"},{"key":"7515_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.asoc.2013.11.018","volume":"17","author":"M Ali","year":"2014","unstructured":"Ali M, Ahn CW, Pant M (2014) Multi-level image thresholding by synergetic differential evolution. Appl Soft Comput 17:1\u201311","journal-title":"Appl Soft Comput"},{"issue":"4","key":"7515_CR4","first-page":"1213","volume":"19","author":"AJCNS Askarzadeh","year":"2014","unstructured":"Askarzadeh AJCNS, Simulation N (2014) Bird mating optimizer: an optimization algorithm inspired by bird mating strategies 19(4):1213\u20131228","journal-title":"Bird mating optimizer: an optimization algorithm inspired by bird mating strategies"},{"issue":"5","key":"7515_CR5","first-page":"2745","volume":"61","author":"Z Bayraktar","year":"2013","unstructured":"Bayraktar Z, Komurcu M, Bossard JA, DHJItoa W (2013) propagation. The wind driven optimization technique and its application in electromagnetics 61(5):2745\u20132757","journal-title":"The wind driven optimization technique and its application in electromagnetics"},{"key":"7515_CR6","doi-asserted-by":"crossref","unstructured":"Bhandari AK, Singh VK, Kumar A, Singh GKJESwA (2014) Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur\u2019s entropy. 41 (7):3538\u20133560","DOI":"10.1016\/j.eswa.2013.10.059"},{"issue":"3","key":"7515_CR7","doi-asserted-by":"publisher","first-page":"1573","DOI":"10.1016\/j.eswa.2014.09.049","volume":"42","author":"AK Bhandari","year":"2015","unstructured":"Bhandari AK, Kumar A, Singh GK (2015) Modified artificial bee colony based computationally efficient multilevel thresholding for satellite image segmentation using Kapur\u2019s, Otsu and Tsallis functions. Expert Syst Appl 42(3):1573\u20131601","journal-title":"Expert Syst Appl"},{"key":"7515_CR8","doi-asserted-by":"crossref","unstructured":"Chen C, Ozolek JA, Wang W, Rohde GKJJoBI (2011) A general system for automatic biomedical image segmentation using intensity neighborhoods. 2011:8","DOI":"10.1155\/2011\/606857"},{"key":"7515_CR9","doi-asserted-by":"crossref","unstructured":"Cruz-Aceves I, Avi\u00f1a-Cervantes JG, L\u00f3pez-Hern\u00e1ndez JM, Gonz\u00e1lez-Reyna SEJC, medicine mmi (2013) Multiple active contours driven by particle swarm optimization for cardiac medical image segmentation. 2013","DOI":"10.1155\/2013\/132953"},{"key":"7515_CR10","unstructured":"El Aziz MA, Ewees AA, Hassanien AEJESwA (2017) Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation. 83:242\u2013256"},{"key":"7515_CR11","doi-asserted-by":"crossref","unstructured":"Elsayed SM, Sarker RA, Essam DLJEAoAI (2014) A new genetic algorithm for solving optimization problems. 27:57\u201369","DOI":"10.1016\/j.engappai.2013.09.013"},{"key":"7515_CR12","doi-asserted-by":"crossref","unstructured":"Freixenet J, Mu\u00f1oz X, Raba D, Mart\u00ed J, Cuf\u00ed X (2002) Yet another survey on image segmentation: Region and boundary information integration. In: European Conference on Computer Vision, Springer, pp 408\u2013422","DOI":"10.1007\/3-540-47977-5_27"},{"key":"7515_CR13","doi-asserted-by":"crossref","unstructured":"Hamdaoui F, Ladgham A, Sakly A, Mtibaa AJIJoS, Engineering IS (2016) Multi-level fractional order PSO new paradigm algorithm for image segmentation. 9 (4\u20135):218\u2013225","DOI":"10.1504\/IJSISE.2016.078261"},{"key":"7515_CR14","doi-asserted-by":"crossref","unstructured":"Hammouche K, Diaf M, Siarry PJCV, Understanding I (2008) A multilevel automatic thresholding method based on a genetic algorithm for a fast image segmentation. 109 (2):163\u2013175","DOI":"10.1016\/j.cviu.2007.09.001"},{"issue":"9","key":"7515_CR15","first-page":"3302","volume":"215","author":"M-HJAM Horng","year":"2010","unstructured":"Horng M-HJAM (2010) Computation. A multilevel image thresholding using the honey bee mating optimization 215(9):3302\u20133310","journal-title":"A multilevel image thresholding using the honey bee mating optimization"},{"issue":"11","key":"7515_CR16","first-page":"13785","volume":"38","author":"M-HJESA Horng","year":"2011","unstructured":"Horng M-HJESA (2011) Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation 38(11):13785\u201313791","journal-title":"Multilevel thresholding selection based on the artificial bee colony algorithm for image segmentation"},{"key":"7515_CR17","unstructured":"Ishak ABJASC (2017) A two-dimensional multilevel thresholding method for image segmentation. 52:306\u2013322"},{"key":"7515_CR18","unstructured":"Zhao Jj, Ji Gh, Xia Y, Zhang XlJIJoB-IC (2015) Cavitary nodule segmentation in computed tomography images based on self\u2013generating neural networks and particle swarm optimisation. 7 (1):62\u201367"},{"key":"7515_CR19","unstructured":"Kapur JN, Sahoo PK, Wong AKJCv (1985) graphics,, processing i.A new method for gray-level picture thresholding using the entropy of the histogram. 29 (3):273\u2013285"},{"key":"7515_CR20","first-page":"64","volume":"86","author":"AKM Khairuzzaman","year":"2017","unstructured":"Khairuzzaman AKM, Chaudhury SJESA (2017) Multilevel thresholding using grey wolf optimizer for image segmentation 86:64\u201376","journal-title":"Multilevel thresholding using grey wolf optimizer for image segmentation"},{"key":"7515_CR21","unstructured":"Khorram B, Yazdi M (2018) A New Optimized Thresholding Method Using Ant Colony Algorithm for MR Brain Image Segmentation.1\u201313"},{"key":"7515_CR22","unstructured":"Lee SU, Chung SY, Park RHJCV (1990) Graphics,, Processing I A comparative performance study of several global thresholding techniques for segmentation. 52 (2):171\u2013190"},{"key":"7515_CR23","doi-asserted-by":"crossref","unstructured":"Li G, Zhang X, Zhao J, Zhang H, Ye J, Zhang WJTSWJ (2013) A self-adaptive parameter optimization algorithm in a real-time parallel image processing system. 2013","DOI":"10.1155\/2013\/978548"},{"key":"7515_CR24","doi-asserted-by":"crossref","unstructured":"Magudeeswaran V, Ravichandran CJMPiE (2013) Fuzzy logic-based histogram equalization for image contrast enhancement. 2013","DOI":"10.1155\/2013\/891864"},{"key":"7515_CR25","doi-asserted-by":"crossref","unstructured":"Maitra M, Chatterjee AJM (2008) A novel technique for multilevel optimal magnetic resonance brain image thresholding using bacterial foraging. 41 (10):1124\u20131134","DOI":"10.1016\/j.measurement.2008.03.002"},{"key":"7515_CR26","doi-asserted-by":"crossref","unstructured":"Manikantan K, Arun B, Yaradoni DKSJPE (2012) Optimal multilevel thresholds based on Tsallis entropy method using golden ratio particle swarm optimization for improved image segmentation. 30:364\u2013371","DOI":"10.1016\/j.proeng.2012.01.873"},{"issue":"2","key":"7515_CR27","first-page":"158","volume":"39","author":"T Niknam","year":"2011","unstructured":"Niknam T, Farsani EA, Nayeripour M, Firouzi BBJEPC (2011) Systems. Hybrid fuzzy adaptive particle swarm optimization and differential evolution algorithm for distribution feeder reconfiguration 39(2):158\u2013175","journal-title":"Hybrid fuzzy adaptive particle swarm optimization and differential evolution algorithm for distribution feeder reconfiguration"},{"key":"7515_CR28","unstructured":"NJItos O (1979) man,, cybernetics. A threshold selection method from gray-level histograms. 9 (1):62\u201366"},{"key":"7515_CR29","unstructured":"Nouri F, Kazemi K, Danyali HJMT (2018) Applications Salient object detection method using random graph. 1\u201319"},{"key":"7515_CR30","doi-asserted-by":"crossref","unstructured":"Nyma A, Kang M, Kwon Y-K, Kim C-H, Kim J-MJBRI (2012) A hybrid technique for medical image segmentation. 2012","DOI":"10.1155\/2012\/830252"},{"key":"7515_CR31","unstructured":"Pal NR, Pal SKJPr (1993) A review on image segmentation techniques. 26 (9):1277\u20131294"},{"issue":"18","key":"7515_CR32","first-page":"7617","volume":"40","author":"R Panda","year":"2013","unstructured":"Panda R, Agrawal S, Bhuyan SJESA (2013) Edge magnitude based multilevel thresholding using Cuckoo search technique 40(18):7617\u20137628","journal-title":"Edge magnitude based multilevel thresholding using Cuckoo search technique"},{"key":"7515_CR33","doi-asserted-by":"crossref","unstructured":"Raja NSM, Kavitha G, Ramakrishnan S (2012) Analysis of vasculature in human retinal images using particle swarm optimization based Tsallis multi-level thresholding and similarity measures. In: International Conference on Swarm, Evolutionary, and Memetic Computing, Springer, pp 380\u2013387","DOI":"10.1007\/978-3-642-35380-2_45"},{"key":"7515_CR34","doi-asserted-by":"crossref","unstructured":"Sarkar S, Das S, Chaudhuri SS (2012) Multilevel image thresholding based on Tsallis entropy and differential evolution. In: International Conference on Swarm, Evolutionary, and Memetic Computing, Springer, pp 17\u201324","DOI":"10.1007\/978-3-642-35380-2_3"},{"key":"7515_CR35","first-page":"120","volume":"50","author":"S Sarkar","year":"2016","unstructured":"Sarkar S, Das S, Chaudhuri SSJESA (2016) Hyper-spectral image segmentation using R\u00e9nyi entropy based multi-level thresholding aided with differential evolution 50:120\u2013129","journal-title":"Hyper-spectral image segmentation using R\u00e9nyi entropy based multi-level thresholding aided with differential evolution"},{"key":"7515_CR36","unstructured":"Sathya P, Kayalvizhi RJIJoCSI (2010) Optimum multilevel image thresholding based on tsallis entropy method with bacterial foraging algorithm. 7 (5):336"},{"key":"7515_CR37","doi-asserted-by":"crossref","unstructured":"Sathya P, Kayalvizhi RJEAoAI (2011) Modified bacterial foraging algorithm based multilevel thresholding for image segmentation. 24 (4):595\u2013615","DOI":"10.1016\/j.engappai.2010.12.001"},{"key":"7515_CR38","doi-asserted-by":"crossref","unstructured":"Sathya P, Kayalvizhi RJM (2011) Amended bacterial foraging algorithm for multilevel thresholding of magnetic resonance brain images. 44 (10):1828\u20131848","DOI":"10.1016\/j.measurement.2011.09.005"},{"key":"7515_CR39","unstructured":"Sezgin M, Sankur BJJoEi (2004) Survey over image thresholding techniques and quantitative performance evaluation. 13 (1):146\u2013166"},{"key":"7515_CR40","doi-asserted-by":"crossref","unstructured":"Shahvaran Z, Kazemi K, Helfroush MS, Jafarian N, Noorizadeh NJJonm (2012) Variational level set combined with Markov random field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images. 209 (2):280\u2013289","DOI":"10.1016\/j.jneumeth.2012.06.012"},{"key":"7515_CR41","doi-asserted-by":"crossref","unstructured":"Shi Z, Ma J, Zhao M, Liu Y, Feng Y, Zhang M, He L, Suzuki KJBRI (2016) Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images. 2016","DOI":"10.1155\/2016\/1480423"},{"issue":"4","key":"7515_CR42","first-page":"341","volume":"11","author":"R Storn","year":"1997","unstructured":"Storn R, KJJogo P (1997) Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces 11(4):341\u2013359","journal-title":"Differential evolution\u2013a simple and efficient heuristic for global optimization over continuous spaces"},{"key":"7515_CR43","doi-asserted-by":"crossref","unstructured":"Su Q, Hu ZJCi (2013) neuroscience, Color image quantization algorithm based on self-adaptive differential evolution. 2013:3","DOI":"10.1155\/2013\/231916"},{"key":"7515_CR44","doi-asserted-by":"crossref","unstructured":"Su X, Fang W, Shen Q, Hao X (2013) An image enhancement method using the quantum-behaved particle swarm optimization with an adaptive strategy. 2013","DOI":"10.1155\/2013\/824787"},{"issue":"3","key":"7515_CR45","first-page":"210","volume":"16","author":"P TJCg","year":"1981","unstructured":"TJCg P, processing i (1981) Entropic thresholding, a new approach 16(3):210\u2013239","journal-title":"Entropic thresholding, a new approach"},{"key":"7515_CR46","doi-asserted-by":"crossref","unstructured":"Xie L, Shen J, Han J, Zhu L, Shao L (2017) Dynamic multi-view hashing for online image retrieval. In, IJCAI","DOI":"10.24963\/ijcai.2017\/437"},{"key":"7515_CR47","doi-asserted-by":"crossref","unstructured":"Yahya AA, Tan J, Hu MJAiM (2013) A novel model of image segmentation based on watershed algorithm. 2013:5","DOI":"10.1155\/2013\/120798"},{"key":"7515_CR48","doi-asserted-by":"crossref","unstructured":"Zhang L, Gao Y, Xia Y, Lu K, Shen J, Ji RJITM (2014) Representative Discovery of Structure Cues for Weakly-Supervised Image Segmentation. 16 (2):470\u2013479","DOI":"10.1109\/TMM.2013.2293424"},{"key":"7515_CR49","unstructured":"Zhang Q, Yu G, Song HJS, Optimization, Computing I (2015) A hybrid bird mating optimizer algorithm with teaching-learning-based optimization for global numerical optimization. 3 (1):54\u201365"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7515-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-019-7515-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-019-7515-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,4,25]],"date-time":"2020-04-25T23:26:08Z","timestamp":1587857168000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-019-7515-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,27]]},"references-count":49,"journal-issue":{"issue":"16","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["7515"],"URL":"https:\/\/doi.org\/10.1007\/s11042-019-7515-6","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,27]]},"assertion":[{"value":"12 July 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 March 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}