Using Weighted DCT Spatial Combination Histogram Features for Color Image Retrieval

This paper presents a color image retrieval method using weighted DCT spatial combination histogram (WDSCH) features. The equalized DCT coefficients histograms for each divided image block are firstly constructed with the DCT transformation and histogram equilibrium method. The weighted DCT spatial combination histogram features for the entire image are then extracted in the HSV color space with the weights of the spatial information and energy distribution. Experimental results on the three image datasets with different conditions show that the compact histogram features containing spatial structural relations are robust to image translation, scaling and rotation,and can bring about good retrieval precision and speed simultaneously.