Quaternion Zernike moments and their invariants for color image analysis and object recognition

Abstract : Moments and moment invariants have become a powerful tool in pattern recognition and image analysis. Conventional methods to deal with color images are based on RGB decomposition or graying, which may lose some significant color information. In this paper, by using the algebra of quaternions, we introduce the quaternion Zernike moments (QZMs) to deal with the color images in a holistic manner. It is shown that the QZMs can be obtained from the conventional Zernike moments of each channel. We also provide the theoretical framework to construct a set of combined invariants with respect to rotation, scaling and translation (RST) transformation. Experimental results are provided to illustrate the efficiency of the proposed descriptors.
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Soumis le : mercredi 9 novembre 2011 - 14:29:15
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
Document(s) archivé(s) le : vendredi 10 février 2012 - 02:30:38

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Beijing Chen, Huazhong Shu, Hui Zhang, Gang Chen, Christine Toumoulin, et al.. Quaternion Zernike moments and their invariants for color image analysis and object recognition. Signal Processing, Elsevier, 2012, 92 (2), pp.308-318. 〈10.1016/j.sigpro.2011.07.018〉. 〈inserm-00639532〉

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