Comparison of spatial color histograms using quadratic distance measure

Due to robustness feature color of object has been proved as low level unique feature. If we change viewpoint looking at a color we note change in its appearance. Color image processing requires dealing with each and every pixel of an image. In this paper spatial color distribution features are implemented. We focus on its calculation and comparison of retrieval efficiency using histogram quadratic distance measure for HSV color Space. Our experiments show hybrid histograms produced better results.