Research on the real and complex multimodal wavelet packet subbands and its application in image classification

De Cai; Wen Hong; Yirong Wu

doi:10.1117/12.791430

5 March 2008 Research on the real and complex multimodal wavelet packet subbands and its application in image classification

De Cai, Wen Hong, Yirong Wu

Author Affiliations +

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662313 (2008) https://doi.org/10.1117/12.791430
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Compared with unimodal wavelet packet subbands, multimodal subbands have strong texture discriminatory power. The existence of mulitimodal subbands in dual-tree complex wavelet packet transform is proved. Similar to the multimodal subbands in real wavelet packet transform, there are shift-modal subbands in complex transform to capture the periodicities running through the texture images. Furthermore, the stability of multimodal subbands in real transform is investigated through a classification experiment. It is concluded that, to the textures with small and very regular periodicities, stable multimodal subbands can be obtained.

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De Cai, Wen Hong, and Yirong Wu "Research on the real and complex multimodal wavelet packet subbands and its application in image classification", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662313 (5 March 2008); https://doi.org/10.1117/12.791430

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KEYWORDS

Wavelets

Expectation maximization algorithms

Wavelet transforms

Image classification

Image processing

Statistical modeling

Discrete wavelet transforms

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