Identifying Patterns and Knowledge Base: Content Based Image Retrieval
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Abstract
Image Mining is different from that of image processing in a way that the former is identifying knowledge patterns from different images and the latter is identifying patterns from a single image. It is highly challenging to identify high level objects and relationships from low level, pixel representation contained in raw images. In the advancing research area, Content-based image retrieval uses visual features to search images from large image databases. This research paper identifies how the knowledge patterns are retrieved from images using CBIR, to identify the features of the images and how it affects the image retrieval and also the role of finding the similarity between the images in retrieving the image based on the query image
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Keywords: Content Based Image Retrieval, Image Mining, Similarity of images, Query images, Image databases.
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