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Color based Image Retrieval using Supervised Learning
Abstract
The study of Content Based Image Retrieval also has the important meaning for impelling and enriching the theory of signal and information processing.-Many existing color based image search techniques searches image based on color of entire image irrespective of foreground and background which have disadvantage of retrieving images based on dominant color in the image (mostly background) but many a time user might be interested in foreground information. We are focusing on image search based on foreground color. Obviously since locating object accurately is one of the most challenging and open problem in computer vision, in this work we limit our self to human dress as foreground. We are able to extract images with excellent precision and recall on our own dataset collected from web in this paper content based image retrieval is a promising approach to search image database by means of image features such as color, texture, shape, pattern or any combinations of them.
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