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  • 标题:CONTENT BASED IMAGE RETRIEVAL THROUGH CLUSTERING
  • 本地全文:下载
  • 作者:Sandhya ; Preeti Gulia
  • 期刊名称:International Journal of Computer Science and Management Studies
  • 电子版ISSN:2231-5268
  • 出版年度:2012
  • 卷号:2
  • 期号:Special Issue
  • 出版社:Imperial Foundation
  • 摘要:Content-based image retrieval (CBIR) is a technique used for extracting similar images from an image database. CBIR system is required to access images effectively and efficiently using information contained in image databases. Here, K-Means is to be used for Image retrieval. The K-means method can be applied only in those cases when the mean of a cluster is defined. The K-means method is not suitable for discovering clusters with non-convex shapes or clusters of very different size. In this paper, CBIR, clustering and K-Means are defined. With the help of these, the data consisting images can be grouped and retrieved.
  • 关键词:CBIR; Image Retrieval; Clustering
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