Image Retrieval Based on Color and Texture

Authors:
Xiaoying Tai;Chengyu Wu;Fuji Ren;Kenji Kita
Affiliations:
Ningbo University, China;Zhejiang University, China;Tokushima University, Japan/ Beijing University of Posts and Telecommunications, China;Tokushima University, Japan
Venue:
MICAI '06 Proceedings of the Fifth Mexican International Conference on Artificial Intelligence
Year:
2006

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Abstract

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.