Image Retrieval Algorithms Based on Lab Space
Zhaojiong Chen · Jisuanji gongcheng · 2008
This paper discusses color-based image retrieval technique in the Lab color space. It analyzes the shortcoming of existing algorithm based on Lab hue histogram, presents an improved retrieval algorithm based on chromaticity coordinate of Lab space. A uniform quantization of chromaticity coordinates(a, b) down to twenty-two bins is performed, their histograms can describle the color context of the image, and preserves the chromaticity coordinates’ characteristic. This paper implements the relevant feedback technique with piece-of-interest. Experimental results show that the improved method has sound and robust retrieval performance, and the relevant feedback technique also enhances the retrieval effectiveness.