{"title":"基于区域和内容的图像检索使用先进的图像处理技术","authors":"T. Sedghi, Majid Fakheri, M. Shayesteh","doi":"10.1109/IRANIANMVIP.2010.5941152","DOIUrl":null,"url":null,"abstract":"The focus of this paper is to enhance retrieval performance and also to provide a better similarity distance computation. We develop a modified clustering algorithm for image retrieval where hierarchical algorithm is used to generate the initial number of clusters and the cluster centres. Experimental results show that the proposed method yields higher retrieval accuracy compared to the several conventional methods. Our work offers improvement in image segmentation and retrieval accuracy.","PeriodicalId":350778,"journal":{"name":"2010 6th Iranian Conference on Machine Vision and Image Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Region and content based image retrieval using advanced image processing techniques\",\"authors\":\"T. Sedghi, Majid Fakheri, M. Shayesteh\",\"doi\":\"10.1109/IRANIANMVIP.2010.5941152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The focus of this paper is to enhance retrieval performance and also to provide a better similarity distance computation. We develop a modified clustering algorithm for image retrieval where hierarchical algorithm is used to generate the initial number of clusters and the cluster centres. Experimental results show that the proposed method yields higher retrieval accuracy compared to the several conventional methods. Our work offers improvement in image segmentation and retrieval accuracy.\",\"PeriodicalId\":350778,\"journal\":{\"name\":\"2010 6th Iranian Conference on Machine Vision and Image Processing\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 6th Iranian Conference on Machine Vision and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRANIANMVIP.2010.5941152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 6th Iranian Conference on Machine Vision and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRANIANMVIP.2010.5941152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Region and content based image retrieval using advanced image processing techniques
The focus of this paper is to enhance retrieval performance and also to provide a better similarity distance computation. We develop a modified clustering algorithm for image retrieval where hierarchical algorithm is used to generate the initial number of clusters and the cluster centres. Experimental results show that the proposed method yields higher retrieval accuracy compared to the several conventional methods. Our work offers improvement in image segmentation and retrieval accuracy.