Image Retrieval Based on Color Volume Histogram
Jingli Wu · 2012
HSV color space could mimic human color perception well.In order to take the advantage of HSV color space,a new feature descriptor,namely color volume histogram,was proposed in this paper for image representation and image retrieval.First,it converts color image from RGB color space to HSV color space,and then uniformly quantizes the color image into 72 colors.Finally,color volumes are used to represent image features.The proposed algorithm is extensively tested on Corel datasets with 15000 natural images.Image retrieval experimental results show that the color volume histogram has the discrimination power of color and spatial features,and the performance is better than that of the local binary pattern histogram and color histogram significantly.