{"title":"Texture classification based on support vector machine and wavelet transform","authors":"Bing-Yu Sun, De-shuang Huang","doi":"10.1109/WCICA.2004.1340998","DOIUrl":null,"url":null,"abstract":"This paper proposes a novel method of texture image classification based on wavelet transform and support vector machine. Compared to traditional approaches using the bitmap representation as the inputs, our approach can not only reduce the dimension of the input image, but also improve the classification accuracy.","PeriodicalId":331407,"journal":{"name":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2004.1340998","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
This paper proposes a novel method of texture image classification based on wavelet transform and support vector machine. Compared to traditional approaches using the bitmap representation as the inputs, our approach can not only reduce the dimension of the input image, but also improve the classification accuracy.