{"title":"模板匹配的形态学方法","authors":"G. Banon, S. Faria","doi":"10.1109/SIGRA.1997.625169","DOIUrl":null,"url":null,"abstract":"In this work, a morphological representation of a template matching algorithm for gray-scale images is presented. The algorithm is the composition of the so-called template matching operator with the maximum gray-level location operator, which can be both expressed in terms of the following classes of mathematical morphology elementary operators: dilations, erosions and anti-dilations. Moreover, the algorithm is applied to remote sensing images.","PeriodicalId":445648,"journal":{"name":"Proceedings X Brazilian Symposium on Computer Graphics and Image Processing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Morphological approach for template matching\",\"authors\":\"G. Banon, S. Faria\",\"doi\":\"10.1109/SIGRA.1997.625169\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, a morphological representation of a template matching algorithm for gray-scale images is presented. The algorithm is the composition of the so-called template matching operator with the maximum gray-level location operator, which can be both expressed in terms of the following classes of mathematical morphology elementary operators: dilations, erosions and anti-dilations. Moreover, the algorithm is applied to remote sensing images.\",\"PeriodicalId\":445648,\"journal\":{\"name\":\"Proceedings X Brazilian Symposium on Computer Graphics and Image Processing\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings X Brazilian Symposium on Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIGRA.1997.625169\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings X Brazilian Symposium on Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIGRA.1997.625169","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this work, a morphological representation of a template matching algorithm for gray-scale images is presented. The algorithm is the composition of the so-called template matching operator with the maximum gray-level location operator, which can be both expressed in terms of the following classes of mathematical morphology elementary operators: dilations, erosions and anti-dilations. Moreover, the algorithm is applied to remote sensing images.
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