Content Based Image Retrieval through Clustering
Journal Title: International Journal of Computer Science and Management Studies (IJCSMS) www.ijcsms.com - Year 2012, Vol 12, Issue 0
Abstract
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 Kmeans 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.
Authors and Affiliations
Sandhya , Preeti Gulia
Keywords
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