{"title":"图像检索使用局部纹理描述符CE应用程序","authors":"Kitae Park, Jeong Ho Lee, Y. Moon","doi":"10.1109/ICCE.2009.5012356","DOIUrl":null,"url":null,"abstract":"This paper proposes an image retrieval technique using local texture features based on Fourier transform. The proposed texture features represent the spatial correlation of texture patterns more effectively with less size of the feature vector, compared to the existing ones. By experimental results, it has been shown that the proposed method achieves improved retrieval results over the existing methods.","PeriodicalId":154986,"journal":{"name":"2009 Digest of Technical Papers International Conference on Consumer Electronics","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image retrieval using local texture descriptor for CE applications\",\"authors\":\"Kitae Park, Jeong Ho Lee, Y. Moon\",\"doi\":\"10.1109/ICCE.2009.5012356\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an image retrieval technique using local texture features based on Fourier transform. The proposed texture features represent the spatial correlation of texture patterns more effectively with less size of the feature vector, compared to the existing ones. By experimental results, it has been shown that the proposed method achieves improved retrieval results over the existing methods.\",\"PeriodicalId\":154986,\"journal\":{\"name\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"volume\":\"2016 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Digest of Technical Papers International Conference on Consumer Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2009.5012356\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Digest of Technical Papers International Conference on Consumer Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2009.5012356","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image retrieval using local texture descriptor for CE applications
This paper proposes an image retrieval technique using local texture features based on Fourier transform. The proposed texture features represent the spatial correlation of texture patterns more effectively with less size of the feature vector, compared to the existing ones. By experimental results, it has been shown that the proposed method achieves improved retrieval results over the existing methods.