{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:51:36Z","timestamp":1740160296580,"version":"3.37.3"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,8,17]],"date-time":"2016-08-17T00:00:00Z","timestamp":1471392000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61370102"],"award-info":[{"award-number":["61370102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Key Technology Research and Development Programs of Guangdong Province","award":["2012B01010029","2013B051000076"],"award-info":[{"award-number":["2012B01010029","2013B051000076"]}]},{"name":"Key Technology Research and Development Programs of Guangdong Province","award":["2015B010108006","2015B010131015"],"award-info":[{"award-number":["2015B010108006","2015B010131015"]}]},{"name":"Science and Technology Plan Project of Guangzhou City","award":["201200000031","2013Y2-00034"],"award-info":[{"award-number":["201200000031","2013Y2-00034"]}]},{"name":"Science and Technology Plan Project of Guangzhou City","award":["2014Y2-00027"],"award-info":[{"award-number":["2014Y2-00027"]}]},{"name":"Opening Project of the State Key Laboratory for Novel Software Technology","award":["KFKT2014B03","KFKT2014B23"],"award-info":[{"award-number":["KFKT2014B03","KFKT2014B23"]}]},{"name":"Philosophy and social science project of Guangdong Provenience","award":["GD14XYJ24"],"award-info":[{"award-number":["GD14XYJ24"]}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61202269","61472089615721436150210861502109"],"award-info":[{"award-number":["61202269","61472089615721436150210861502109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of Guangdong province","award":["2014A030306050","2014A030308008"],"award-info":[{"award-number":["2014A030306050","2014A030308008"]}]},{"name":"NSFC-Guangdong Joint Found","award":["2015PT022","U1501254"],"award-info":[{"award-number":["2015PT022","U1501254"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s13042-016-0584-1","type":"journal-article","created":{"date-parts":[[2016,8,17]],"date-time":"2016-08-17T10:22:02Z","timestamp":1471429322000},"page":"621-627","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Alpha matting with image pixel correlation"],"prefix":"10.1007","volume":"9","author":[{"given":"Xueming","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifeng","family":"Hao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,8,17]]},"reference":[{"issue":"2","key":"584_CR1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1561\/0600000019","volume":"3","author":"J Wang","year":"2007","unstructured":"Wang J, Cohen MF (2007) Image and video matting: a survey. Found Trends Comput Graph Vis 3(2):97\u2013175","journal-title":"Found Trends Comput Graph Vis"},{"key":"584_CR2","first-page":"1902","volume":"9","author":"X Chen","year":"2013","unstructured":"Chen X, Zou D, Zhou SZ, Zhao Q, Tan P (2013) Image matting with local and nonlocal smooth priors. IEEE Conf Comput Vis Pattern Recognit 9:1902\u20131907","journal-title":"IEEE Conf Comput Vis Pattern Recognit"},{"issue":"9","key":"584_CR3","doi-asserted-by":"crossref","first-page":"2175","DOI":"10.1109\/TPAMI.2013.18","volume":"35","author":"Q Chen","year":"2013","unstructured":"Chen Q, Li D, Tang CK (2013) Knn matting. IEEE Trans Pattern Anal Mach Intell 35(9):2175\u20132188","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"2","key":"584_CR4","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1109\/TPAMI.2007.1177","volume":"30","author":"A Levin","year":"2008","unstructured":"Levin A, Lischinski D, Weiss Y (2008) A closed-form solution to natural image matting. IEEE Trans Pattern Anal Mach Intell 30(2):228\u2013242","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"584_CR5","doi-asserted-by":"crossref","first-page":"1295","DOI":"10.1109\/TPAMI.2010.206","volume":"33","author":"D Singaraju","year":"2011","unstructured":"Singaraju D, Vidal R (2011) Estimation of alpha mattes for multiple image layers. IEEE Trans Pattern Anal Mach Intell 33(7):1295\u20131309","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"584_CR6","doi-asserted-by":"crossref","unstructured":"Wang J, Cohen M F (2007) Optimized color sampling for robust matting. In: CVPR2007, pp 1\u20138","DOI":"10.1109\/CVPR.2007.383006"},{"issue":"4","key":"584_CR7","first-page":"636","volume":"9","author":"E Shahrian","year":"2013","unstructured":"Shahrian E, Rajan D, Price B, Cohen S (2013) Improving image matting using comprehensive sampling sets. Conf Comput Vis Pattern Recognit 9(4):636\u2013643","journal-title":"Conf Comput Vis Pattern Recognit"},{"key":"584_CR8","doi-asserted-by":"crossref","unstructured":"Shahrian E, Rajan D (2012) Weighted color and texture sample selection for image matting. In: Computer vision and pattern recognition (CVPR), pp 718\u2013725","DOI":"10.1109\/CVPR.2012.6247741"},{"issue":"5","key":"584_CR9","doi-asserted-by":"crossref","first-page":"603","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 Pattern Anal Mach Intell 24(5):603\u2013619","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"584_CR10","unstructured":"Gastal ESL, Oliveira MM (2010) Shared sampling for real time alpha matting. Comput Graph Forum 29(2):575C584"},{"issue":"11","key":"584_CR11","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1109\/LSP.2013.2274874","volume":"20","author":"Q Zhu","year":"2013","unstructured":"Zhu Q, Zhang Z, Song Z, Xie Y, Wang L et al (2013) A novel nonlinear regression approach for efficient and accurate image matting. IEEE Signal Process Lett 20(11):1078\u20131081","journal-title":"IEEE Signal Process Lett"},{"issue":"2","key":"584_CR12","first-page":"185","volume":"26","author":"Q Zhu","year":"2014","unstructured":"Zhu Q, Shao L, Li X, Wang L (2014) Targeting accurate object extraction from an image: a comprehensive study of natural image matting. IEEE Trans Neural Netw Learn Syst 26(2):185\u2013207","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"584_CR13","first-page":"2049","volume":"42","author":"K He","year":"2010","unstructured":"He K, Rhemann C, Rother C, Tang X, Sun J (2010) A global sampling method for alpha matting. IEEE Conf Comput Vis Pattern Recogn 42:2049\u20132056","journal-title":"IEEE Conf Comput Vis Pattern Recogn"},{"key":"584_CR14","unstructured":"Berman A, Dadourian A, Vlahos P (2000) Method for removing from an image the background surrounding a selected object. US Patent 6,134,346"},{"key":"584_CR15","doi-asserted-by":"crossref","unstructured":"Yang M, Zhu P, Liu F, Shen L (2015) Joint representation and pattern learning for robust face recognition. Neurocomputing 168(C):70\u201380","DOI":"10.1016\/j.neucom.2015.06.013"},{"issue":"7","key":"584_CR16","doi-asserted-by":"crossref","first-page":"1292","DOI":"10.1364\/JOSAA.20.001292","volume":"20","author":"B Potetz","year":"2003","unstructured":"Potetz B, Lee TS (2003) Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes. J Opt Soc Am 20(7):1292\u20131303","journal-title":"J Opt Soc Am"},{"key":"584_CR17","first-page":"231","volume":"1","author":"LN Castro de","year":"2001","unstructured":"de Castro LN, Von Zuben FJ (2001) aiNet: an artificial immune network for data analysis. Data Min Heuristic Approach 1:231\u2013259","journal-title":"Data Min Heuristic Approach"},{"issue":"8","key":"584_CR18","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1007\/s00500-002-0237-z","volume":"7","author":"LN Castro de","year":"2003","unstructured":"de Castro LN, Timmis JI (2003) Artificial immune systems as a novel soft computing paradigm. Soft Comput 7(8):526\u2013544","journal-title":"Soft Comput"},{"key":"584_CR19","first-page":"69","volume":"6","author":"BY Shi","year":"2010","unstructured":"Shi BY, Eberhart R (2010) A modified particle swarm optimizer. IEEE World Congr Comput Intell 6:69\u201373","journal-title":"IEEE World Congr Comput Intell"},{"key":"584_CR20","doi-asserted-by":"crossref","unstructured":"Rhemann C, Rother C, Wang J, Gelautz M, Kohli P, Rott P (2009) A perceptually motivated online benchmark for image matting. In: IEEE Conference on Computer Vision and PatternRecognition, pp 1826\u20131833","DOI":"10.1109\/CVPR.2009.5206503"},{"key":"584_CR21","doi-asserted-by":"crossref","unstructured":"Wang XZ, Ashfaq RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185\u20131196","DOI":"10.3233\/IFS-151729"},{"issue":"5","key":"584_CR22","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3233\/IFS-141516","volume":"28","author":"X Wang","year":"2015","unstructured":"Wang X (2015) Learning from big data with uncertainty editorial. J Intell Fuzzy Syst 28(5):2329\u20132330","journal-title":"J Intell Fuzzy Syst"},{"key":"584_CR23","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1016\/j.neucom.2015.05.069","volume":"168","author":"Y Han","year":"2015","unstructured":"Han Y, Xu C, Baciu G, Li M (2015) Lightness biased cartoon-and-texture decomposition for textile image segmentation. Neurocomputing 168:575\u2013587","journal-title":"Neurocomputing"},{"key":"584_CR24","doi-asserted-by":"crossref","unstructured":"Lu Y, Lai Z, Fan Z, Cui J, Zhu Q (2015) Manifold discriminant regression learning for image classification. Neurocomputing 166(C):475\u2013486","DOI":"10.1016\/j.neucom.2015.03.031"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0584-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0584-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0584-1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0584-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,3,12]],"date-time":"2018-03-12T00:01:24Z","timestamp":1520812884000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0584-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,17]]},"references-count":24,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["584"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0584-1","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2016,8,17]]}}}