{"title":"Texture Description in Local Scale Using Texton Histograms with Universal Dictionary","authors":"J. Rouco, M. G. Penedo, M. Ortega, A. González","doi":"10.1109/DICTA.2009.18","DOIUrl":null,"url":null,"abstract":"An inherent property to the texture patterns is that they are only meaningful in an appropriate range of scales. Taking this into account, the description of the texture patterns should be limited to its meaningful scales. This assumption motivates the research on local scale texture description. In this paper a new method for the extraction and description of texture features using local scale is presented. The method is based on texton histograms using universal prototype dictionaries of extremal filter outputs. Comparison results with state of the art texture description methods demonstrate the higher discriminative power of the proposed method in local scale texture classification.","PeriodicalId":277395,"journal":{"name":"2009 Digital Image Computing: Techniques and Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Digital Image Computing: Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DICTA.2009.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
An inherent property to the texture patterns is that they are only meaningful in an appropriate range of scales. Taking this into account, the description of the texture patterns should be limited to its meaningful scales. This assumption motivates the research on local scale texture description. In this paper a new method for the extraction and description of texture features using local scale is presented. The method is based on texton histograms using universal prototype dictionaries of extremal filter outputs. Comparison results with state of the art texture description methods demonstrate the higher discriminative power of the proposed method in local scale texture classification.