Color distribution analysis and quantization for image retrieval
Xia Wan, C.‐C. Jay Kuo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
Color space selection and quantization are critical to content-based image retrieval based on color histograms. In this work, we first examine the color distribution in different color spaces including RGB, HSV, YUV and Munsell spaces and discuss the appropriate quantization strategies in these color spaces based on the distribution of colors. Then, we propose a color quantization scheme which applies the Lloyd-Max quantizer along each axis independently. The proposed scheme is simple yet efficient. Retrieval using the proposed quantization scheme on different color spaces are compared through experiments.