Primary-color-based spatial layout features and new image matching algorithm based on dual features

Authors:
De-cai Huang;Jia Hu;Yuan Yuan
Affiliations:
College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China
Venue:
ICAT'06 Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-Existence
Year:
2006

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Abstract

In the area of Content-Based Image Retrieval (CBIR), feature extraction and matching are the key techniques for image retrieval. In order to overcome the drawbacks of commonly used color features, an approach to extract spatial layout feature is presented which is based on images’ primary color, and a new algorithm is also presented for image features matching by combing the spatial layout feature and the color histogram feature. The experimental results show that the new algorithm can achieve much better performance for images with typical spatial layout feature.