Image retrieval using both color and local spatial feature histograms

A novel color image retrieval method using both color and local spatial feature histograms (CLSFH) is proposed in this paper. In CLSFH, the non-uniform quantized HSV color model is used, the mean, the standard deviation of 5 X 5 neighbor of every pixel are calculated, and are used to generate the Local Mean Histogram, the Local Standard Deviation Histogram; the Directional Difference Unit of 3 X 3 neighbor of every pixel is defined and computed, and is used to generate the Local Directional Difference Unit Histogram. The three histograms and color histogram are used as feature indexes to retrieve color image. Experimental results show that CLSFH has better performance than other color-spatial based methods for the color images, especially for color images with relatively regular texture or structure characteristic.