{"title":"基于局部半覆盖的纹理分析","authors":"S. Cuenca","doi":"10.1109/ICIAP.2003.1234114","DOIUrl":null,"url":null,"abstract":"The paper presents a new efficient approach to texture analysis based on distributions of simple spatial and tonal relationships. The texture description proposed makes use of a semicover concept over binary planes derived from grey images. A measure of the local semicover tendency based on joint occurrences of elementary semicover patterns is described, and a computation simplification method is presented to reduce the computational cost. The method presents a reduced set of parameters that facilitates its optimization in different types of application. The performance of the method is evaluated by means of a comparative study, including other algorithms widely used in texture analysis. The results show a similar or superior performance to other more complex approaches.","PeriodicalId":218076,"journal":{"name":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Texture analysis based on local semicovers\",\"authors\":\"S. Cuenca\",\"doi\":\"10.1109/ICIAP.2003.1234114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a new efficient approach to texture analysis based on distributions of simple spatial and tonal relationships. The texture description proposed makes use of a semicover concept over binary planes derived from grey images. A measure of the local semicover tendency based on joint occurrences of elementary semicover patterns is described, and a computation simplification method is presented to reduce the computational cost. The method presents a reduced set of parameters that facilitates its optimization in different types of application. The performance of the method is evaluated by means of a comparative study, including other algorithms widely used in texture analysis. The results show a similar or superior performance to other more complex approaches.\",\"PeriodicalId\":218076,\"journal\":{\"name\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"12th International Conference on Image Analysis and Processing, 2003.Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAP.2003.1234114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"12th International Conference on Image Analysis and Processing, 2003.Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAP.2003.1234114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents a new efficient approach to texture analysis based on distributions of simple spatial and tonal relationships. The texture description proposed makes use of a semicover concept over binary planes derived from grey images. A measure of the local semicover tendency based on joint occurrences of elementary semicover patterns is described, and a computation simplification method is presented to reduce the computational cost. The method presents a reduced set of parameters that facilitates its optimization in different types of application. The performance of the method is evaluated by means of a comparative study, including other algorithms widely used in texture analysis. The results show a similar or superior performance to other more complex approaches.