Journal
INFORMATION SCIENCES
Volume 273, Issue -, Pages 132-143Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.03.037
Keywords
Quaternion; Quaternion moment; Moment invariant; Pattern classification
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Funding
- National Basic Research Program of China (973 Program) [2009CB72400102A]
- National Natural Science Foundation of China [61203242]
- Key Science and Technology Project of Jilin Province [11ZDGG001]
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Moment invariants are important shape descriptors in computer vision. In this study, we propose new sets of quatemion moment descriptors for color image. They are constructed in the quaternion framework and are an extension of complex moment invariants for grayscale images. This is a useful tool in color image processing and color object recognition tasks that require the similarity invariance. The advantage of the proposed quatemion moment invariants is that they can not only process color image in a holistic manner but also grayscale one. In addition, the computational complexity of the proposed method is much lower than the quaternion Zernike moments defined in the polar coordinates. An example of using the quaternion moment invariants as pattern features for a color object classification application is given. Theoretical and experimental results show that the proposed descriptors perform better than the other competing moment-based methods. (c) 2014 Elsevier Inc. All rights reserved.
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