SURVEY PAPER ON CONTENT BASED IMAGE RETRIEVAL USING AUGMENTED K-MEANS CLUSTERING ALGORITHM
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Description
In this paper, we are surveying the different ways through which we can access the content of any image. As processors become increasingly powerful, and memories become increasingly cheaper, the deployment of large image databases for a variety of applications have now become realizable. Databases of art works, satellite and medical imagery have been attracting more and more users in various professional fields for example, geography, medicine, architecture, advertising, design, fashion, and publishing. "Content-based" means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image
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