{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:50:30Z","timestamp":1761663030485,"version":"3.41.2"},"reference-count":26,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,3,1]],"date-time":"2012-03-01T00:00:00Z","timestamp":1330560000000},"content-version":"vor","delay-in-days":60,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100005046","name":"Natural Sciences Foundation of Heilongjiang Province","doi-asserted-by":"crossref","award":["A200909"],"award-info":[{"award-number":["A200909"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2012,1]]},"abstract":"<jats:p>We propose a convex image segmentation model in a variational level set formulation. Both the local information and the global information are taken into consideration to get better segmentation results. We first propose a globally convex energy functional to combine the local and global intensity fitting terms. The proposed energy functional is then modified by adding an edge detector to force the active contour to the boundary more easily. We then apply the split Bregman method to minimize the proposed energy functional efficiently. By using a weight function that varies with location of the image, the proposed model can balance the weights between the local and global fitting terms dynamically. We have applied the proposed model to synthetic and real images with desirable results. Comparison with\nother models also demonstrates the accuracy and superiority of the proposed model.<\/jats:p>","DOI":"10.1155\/2012\/692589","type":"journal-article","created":{"date-parts":[[2012,3,2]],"date-time":"2012-03-02T13:55:57Z","timestamp":1330696557000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method"],"prefix":"10.1155","volume":"2012","author":[{"given":"Yunyun","family":"Yang","sequence":"first","affiliation":[]},{"given":"Boying","family":"Wu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,3]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00133570"},{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/83.902291"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.244675"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.368173"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007979827043"},{"key":"e_1_2_7_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.387512"},{"key":"e_1_2_7_7_2","unstructured":"LiC. XuC. GuiC. andFoxM. D. Level set evolution without re-initialization: a new variational formulation Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u203205) June 2005 430\u2013436 2-s2.0-24644441054."},{"key":"e_1_2_7_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1114849"},{"key":"e_1_2_7_9_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1014080923068"},{"key":"e_1_2_7_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF01427153"},{"key":"e_1_2_7_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/34.857003"},{"key":"e_1_2_7_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/83.935033"},{"key":"e_1_2_7_13_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1020874308076"},{"key":"e_1_2_7_14_2","doi-asserted-by":"crossref","unstructured":"LiC. KaoC. Y. GoreJ. C. andDingZ. Implicit active contours driven by local binary fitting energy Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR \u203207) June 2007 Washington DC USA 1\u20137 2-s2.0-34948884623 https:\/\/doi.org\/10.1109\/CVPR.2007.383014.","DOI":"10.1109\/CVPR.2007.383014"},{"key":"e_1_2_7_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2008.2002304"},{"key":"e_1_2_7_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2009.04.010"},{"key":"e_1_2_7_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/0167-2789(92)90242-F"},{"key":"e_1_2_7_18_2","doi-asserted-by":"publisher","DOI":"10.1137\/080725891"},{"key":"e_1_2_7_19_2","doi-asserted-by":"publisher","DOI":"10.1137\/040605412"},{"key":"e_1_2_7_20_2","first-page":"445","article-title":"Fast texture segmentation based on semi-local region descriptor and active contour","volume":"2","author":"Houhou N.","year":"2009","journal-title":"Numerical Mathematics"},{"key":"e_1_2_7_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10915-009-9331-z"},{"key":"e_1_2_7_22_2","doi-asserted-by":"crossref","unstructured":"YangY. LiC. KaoC. andOsherS. Split Bregman method for minimization of region-scalable fitting energy for image segmentation 6454 Proceedings of the International Symposium on Visual Computing (ISVC \u203201) 2010 Springer 117\u2013128 Lecture Notes in Computer Science.","DOI":"10.1007\/978-3-642-17274-8_12"},{"key":"e_1_2_7_23_2","doi-asserted-by":"publisher","DOI":"10.1137\/040615286"},{"key":"e_1_2_7_24_2","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.3160420503"},{"key":"e_1_2_7_25_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-007-0002-0"},{"key":"e_1_2_7_26_2","doi-asserted-by":"crossref","unstructured":"YuY. ZhangC. WeiY. andLiX. Active contour method combining local fitting energy and global fitting energy dynamically 6165 Proceedings of the International Conference on Medical Biometrics (ICMB \u203210) 2010 Springer 163\u2013172 Lecture Notes in Computer Science.","DOI":"10.1007\/978-3-642-13923-9_17"}],"container-title":["Journal of Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2012\/692589.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2012\/692589.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2012\/692589","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T07:03:11Z","timestamp":1718089391000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2012\/692589"}},"subtitle":[],"editor":[{"given":"Wenyu","family":"Sun","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2012,1]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,1]]}},"alternative-id":["10.1155\/2012\/692589"],"URL":"https:\/\/doi.org\/10.1155\/2012\/692589","archive":["Portico"],"relation":{},"ISSN":["1110-757X","1687-0042"],"issn-type":[{"type":"print","value":"1110-757X"},{"type":"electronic","value":"1687-0042"}],"subject":[],"published":{"date-parts":[[2012,1]]},"assertion":[{"value":"2011-09-08","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2011-11-20","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2012-03-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"692589"}}