Comparision Of Traditional Method of Histogram Equalisation with HSV and Kekre Transform for Content Based Image Retrieval
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7
Abstract
Content-based image retrieval system based on an efficient combination of both colours and features is explained in this paper. According to Kekre’s Transform, feature vectors are formed using a combination of row mean and column mean of both query as well as database images, to measure the extent of similarity using Euclidian distance. Similarly, HSV colour space quantifies the colour space into different regions and thereby calculating its mean and Euclidian distance the colour vector can be derived. Taking mean of the Euclidian distances of both the algorithms better accuracy of the image retrieval process can be attained.
Authors and Affiliations
Ms. Venu Shah , Ms. Archana Choudhary , Prof. Kavita Tewari
Keywords
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