HSV and HVC Color Space Comparison for Content Based Image Retrieval

Color is a lower level feature, robust in nature and itsappearance changes as view angle changes. In color image processing each pixel in image is taken into account. In this paper various measures of color distribution implemented. These are color histograms, color coherence vector (CCV), annular, angular and hybrid histograms and are compared in two different color spaces HSV and HVC using average precision recall. Experiments show that CCV and hybrid histograms produced better results in HSV color space.