Robust color image retrieval using visual interest point feature of significant bit-planes

Authors:
Xiang-Yang Wang;Hong-Ying Yang;Yong-Wei Li;Fang-Yu Yang
Affiliations:
School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China;School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China;School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China;School of Computer and Information Technology, Liaoning Normal University, Dalian 116029, China
Venue:
Digital Signal Processing
Year:
2013

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Abstract

In this paper, we propose a robust color image retrieval method using visual interest point feature of significant bit-planes. We firstly extract the visually significant bit-plane image from the original color image according to the bit-plane theory and noise attack characteristic. And then, we extract the visual interest points from the original color image by using the significant bit-plane image and multi-scale Harris-Laplace detector, and construct the fuzzy color histogram of visual interest points. We finally compute the similarity between color images by using the fuzzy color histogram of visual interest points. Experiments on large databases show that the proposed algorithm is significantly more effective than the state-of-the-art approaches. Especially, it can retrieve the noise-attacked (including blurring, sharpening, and illumination, etc.) image effectively.