Article ID Journal Published Year Pages File Type
447680 AEU - International Journal of Electronics and Communications 2013 9 Pages PDF
Abstract

This article proposes a study of the reduced quaternion wavelet transform (RQWT) which has one shift-invariant magnitude and three angle phases at each scale from digital image analysis application. A new multiscale texture classifier which uses features extracted from the sub-bands of the RQWT decomposition is proposed in the transform domain. The proposed method can achieve a high texture classification rate. The experimental results can demonstrate the robustness of the proposed method and achieve a higher texture classification accuracy rate than a famous wavelet transform based classifier.

Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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