Call For Paper Volume:4 Issue:10 Oct'2017 |

AN EFFICIENT IMAGE RETRIVAL BASED ON HSV COLOR SPACE AND KNN CLASSIFER

Publication Date : 26/04/2015



Author(s) :

E.Venkateswarlu , D.Lalitha Kumari.


Volume/Issue :
Volume 2
,
Issue 4
(04 - 2015)



Abstract :

This electronic document is a “live” template. The various components of your paper In this paper, it is proposed an efficient image retrieval scheme to retrieve images. The numbers of images retrieved that are irrelevant are more using HSV Color Space. HSV stands for the Hue, Saturation and Value, provides the perception representation according with human visual feature. The retrieval accuracy is better in KNN Classifier compared to HSV Color Space. The experimental database contains 50 images and comparing the results of the HSV Color Space and KNN Classifier. The KNN Classifier is better performance than the color space. Keywords—Retrieving Images, CBIR, histogram intersection KNN classifier


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AN EFFICIENT IMAGE RETRIVAL BASED ON HSV COLOR SPACE AND KNN CLASSIFER

April 22, 2015