{"title":"MITES (mit-æs):一种模型驱动的迭代纹理分割算法","authors":"Larry S Davis, Amar Mitiche","doi":"10.1016/0146-664X(82)90102-2","DOIUrl":null,"url":null,"abstract":"<div><p>A new algorithm for segmentation of images containing textured regions is presented. The algorithm is named MITES, which is an acronym for <span><math><mtext>M</mtext></math></span>odel-driven, <span><math><mtext>I</mtext></math></span>terative, <span><math><mtext>T</mtext></math></span>exture <span><math><mtext>S</mtext></math></span>egmentation. MITES represents an alternative to the traditional pixel classification approach to texture image segmentation because it makes explicit use of the spatial coherence of uniformly textured regions.</p></div>","PeriodicalId":100313,"journal":{"name":"Computer Graphics and Image Processing","volume":"19 2","pages":"Pages 95-110"},"PeriodicalIF":0.0000,"publicationDate":"1982-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0146-664X(82)90102-2","citationCount":"10","resultStr":"{\"title\":\"MITES (mit-æs): A model-driven, iterative texture segmentation algorithm\",\"authors\":\"Larry S Davis, Amar Mitiche\",\"doi\":\"10.1016/0146-664X(82)90102-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A new algorithm for segmentation of images containing textured regions is presented. The algorithm is named MITES, which is an acronym for <span><math><mtext>M</mtext></math></span>odel-driven, <span><math><mtext>I</mtext></math></span>terative, <span><math><mtext>T</mtext></math></span>exture <span><math><mtext>S</mtext></math></span>egmentation. MITES represents an alternative to the traditional pixel classification approach to texture image segmentation because it makes explicit use of the spatial coherence of uniformly textured regions.</p></div>\",\"PeriodicalId\":100313,\"journal\":{\"name\":\"Computer Graphics and Image Processing\",\"volume\":\"19 2\",\"pages\":\"Pages 95-110\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1982-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0146-664X(82)90102-2\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/0146664X82901022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0146664X82901022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MITES (mit-æs): A model-driven, iterative texture segmentation algorithm
A new algorithm for segmentation of images containing textured regions is presented. The algorithm is named MITES, which is an acronym for odel-driven, terative, exture egmentation. MITES represents an alternative to the traditional pixel classification approach to texture image segmentation because it makes explicit use of the spatial coherence of uniformly textured regions.
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