Image Retrieval Based on Color and Texture
Xiaoying Tai, Chengyu Wu, Fuji Ren, Kenji Kita · 2006
In this paper, a clustering algorithm based on mean shift is used to extract the dominant color in CIE L*a*b* color space. Earth Mover's Distance is used to calculate the color dissimilarity. In order to overcome disadvantages of color feature, a new method based on texture is proposed. The technique of relevance feedback is used to enhance the effectiveness. Finally, a prototype system is developed to compare the retrieval precision, the rank and the execution time by two experiments. The results show that the proposed approach is effective.