{"title":"多特征CBIR方法在中医舌诊中的应用","authors":"","doi":"10.1109/SPCA.2006.297540","DOIUrl":null,"url":null,"abstract":"A new image retrieval method based on multi-feature (color and texture) is used in the traditional Chinese medicine (TCM) tongue diagnosis in this paper. We use a 20D eigenvector including both color and texture as whole image's feature to retrieval the resemble tongue images. By this way we can classify the tongue pictures excellently and get great retrieval results. By experiments the result is satisfactory","PeriodicalId":232800,"journal":{"name":"2006 First International Symposium on Pervasive Computing and Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A Multi-feature CBIR Method Using in the Traditional Chinese Medicine Tongue Diagnosis\",\"authors\":\"\",\"doi\":\"10.1109/SPCA.2006.297540\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new image retrieval method based on multi-feature (color and texture) is used in the traditional Chinese medicine (TCM) tongue diagnosis in this paper. We use a 20D eigenvector including both color and texture as whole image's feature to retrieval the resemble tongue images. By this way we can classify the tongue pictures excellently and get great retrieval results. By experiments the result is satisfactory\",\"PeriodicalId\":232800,\"journal\":{\"name\":\"2006 First International Symposium on Pervasive Computing and Applications\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 First International Symposium on Pervasive Computing and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPCA.2006.297540\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 First International Symposium on Pervasive Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCA.2006.297540","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Multi-feature CBIR Method Using in the Traditional Chinese Medicine Tongue Diagnosis
A new image retrieval method based on multi-feature (color and texture) is used in the traditional Chinese medicine (TCM) tongue diagnosis in this paper. We use a 20D eigenvector including both color and texture as whole image's feature to retrieval the resemble tongue images. By this way we can classify the tongue pictures excellently and get great retrieval results. By experiments the result is satisfactory