刊名:AEU - International Journal of Electronics and Communications
出版年:2013
出版时间:March, 2013
年:2013
卷:67
期:3
页码:233-241
全文大小:1832 K
文摘
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.