{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:24:06Z","timestamp":1760243046224,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,5,22]],"date-time":"2015-05-22T00:00:00Z","timestamp":1432252800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Science Foundation of Hubei Collaborative Innovation Centre for High-efficiency Utilization of Solar Energy","award":["HBSKFMS2014018"],"award-info":[{"award-number":["HBSKFMS2014018"]}]},{"name":"Science Foundation of Hubei University of Technology","award":["BSQD13028","BSQD12118"],"award-info":[{"award-number":["BSQD13028","BSQD12118"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>We introduce a multi-feature optimization clustering algorithm for color image segmentation. The local binary pattern, the mean of the min-max difference, and the color components are combined as feature vectors to describe the magnitude change of grey value and the contrastive information of neighbor pixels. In clustering stage, it gets the initial clustering center and avoids getting into local optimization by adding mutation operator of genetic algorithm to particle swarm optimization. Compared with well-known methods, the proposed method has an overall better segmentation performance and can segment image more accurately by evaluating the ratio of misclassification.<\/jats:p>","DOI":"10.3390\/a8020234","type":"journal-article","created":{"date-parts":[[2015,5,26]],"date-time":"2015-05-26T04:16:36Z","timestamp":1432613796000},"page":"234-247","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation"],"prefix":"10.3390","volume":"8","author":[{"given":"Gaihua","family":"Wang","sequence":"first","affiliation":[{"name":"Hubei Collaborative Innovation Centre for High-efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan 430068, China"},{"name":"School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China"},{"name":"Faculty of Technology, University of Vaasa, PL 700, 65101 Vaasa, Finland"}]},{"given":"Caiquan","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University of Technology, Wuhan 430068, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,5,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1016\/j.fss.2009.10.021","article-title":"Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study","volume":"161","author":"Graves","year":"2010","journal-title":"Fuzzy Sets Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4382","DOI":"10.1016\/j.eswa.2010.09.107","article-title":"Robust kernel FCM in segmentation of breast medical images","volume":"38","author":"Kannan","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.patrec.2012.10.004","article-title":"A fuzzy clustering algorithm with spatial robust estimation constraint for noisy color image segmentation","volume":"34","year":"2013","journal-title":"Pattern Recognit. Lett."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"988","DOI":"10.1016\/j.sigpro.2010.10.001","article-title":"A novel fuzzy clustering algorithm with non-local adaptive spatial constraint for image segmentation","volume":"91","author":"Zhao","year":"2011","journal-title":"Signal Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1329","DOI":"10.1016\/j.patrec.2013.04.021","article-title":"A modified interval type-2 fuzzy C-means algorithm with application in MR image segmentation","volume":"34","author":"Qiu","year":"2013","journal-title":"Pattern Recognit. Lett."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2723","DOI":"10.1016\/j.sigpro.2012.04.023","article-title":"Music genre classification using LBP textural features","volume":"92","author":"Costa","year":"2012","journal-title":"Signal Process."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1016\/j.imavis.2008.08.005","article-title":"Facial expression recognition based on Local Binary Patterns:A comprehensive study","volume":"27","author":"Shan","year":"2009","journal-title":"Image Vis. Comput."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1016\/j.cviu.2010.12.001","article-title":"Local binary patterns for multi-view facial expression recognition","volume":"115","author":"Moore","year":"2011","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2767","DOI":"10.1016\/j.ijleo.2012.08.040","article-title":"Facial expression recognition based on fusion feature of PCA and LBP with SVM","volume":"124","author":"Luo","year":"2013","journal-title":"Int. J. Light Electron Optics."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1016\/j.media.2011.06.005","article-title":"Automated macular pathology diagnosis in retinal OCT images using multi-scale spatial pyramid and local binary patterns in texture and shape encoding","volume":"15","author":"Liu","year":"2011","journal-title":"Med. Image Anal."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.patcog.2008.08.014","article-title":"Description of interest regions with local binary patterns","volume":"42","author":"Heikkila","year":"2009","journal-title":"Pattern Recognit."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3461","DOI":"10.1016\/j.patcog.2008.05.013","article-title":"Local binary patterns for a hybrid fingerprint matcher","volume":"41","author":"Nanni","year":"2008","journal-title":"Pattern Recognit."},{"key":"ref_13","unstructured":"Kennedy, J., and Eberhart, R. (, 1995). Particle swarm optimization. Proceedings of the 1995 IEEE International Conference on Neural Networks, Perth, WA, USA."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.amc.2008.05.100","article-title":"Knowledge-based cooperative particle swarm optimization","volume":"205","author":"Jie","year":"2008","journal-title":"Appl. Math. Comput."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6565","DOI":"10.1016\/j.eswa.2010.11.082","article-title":"Particle swarm optimization with selective particle regeneration for data clustering","volume":"38","author":"Tsai","year":"2011","journal-title":"Expert Syst. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1016\/j.compeleceng.2012.12.021","article-title":"Using PSO in a spatial domain based image hiding scheme with distortion tolerance","volume":"39","author":"Bedi","year":"2013","journal-title":"Comput. Elect. Engin."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"3130","DOI":"10.1016\/j.asoc.2012.08.040","article-title":"Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations","volume":"13","author":"Vellasques","year":"2013","journal-title":"Appl. Soft Comput."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0031-3203(95)00067-4","article-title":"A comparative study of texture measure with classification based on feature distribution","volume":"29","author":"Ojala","year":"1996","journal-title":"Pattern Recognit."},{"key":"ref_19","unstructured":"The Berkeley Segmentation Dataset and Benchmark. Available online: http:\/\/www.eecs.berkeley.edu\/Research\/Projects\/CS\/vision\/bsds\/."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/8\/2\/234\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:46:49Z","timestamp":1760215609000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/8\/2\/234"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,22]]},"references-count":19,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2015,6]]}},"alternative-id":["a8020234"],"URL":"https:\/\/doi.org\/10.3390\/a8020234","relation":{},"ISSN":["1999-4893"],"issn-type":[{"type":"electronic","value":"1999-4893"}],"subject":[],"published":{"date-parts":[[2015,5,22]]}}}