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Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures
Dong, Yongsheng ; Ma, Jinwen
2012
关键词Bayesian Ying-Yang (BYY) harmony learning system contourlet transform model selection Poisson mixtures texture classification AUTOMATED MODEL SELECTION GAUSSIAN MIXTURE IMAGE CLASSIFICATION SCALE MIXTURES EM ALGORITHM SEGMENTATION FEATURES REPRESENTATION DECOMPOSITION EXTRACTION
英文摘要As a newly developed 2-D extension of the wavelet transform using multiscale and directional filter banks, the contourlet transform can effectively capture the intrinsic geometric structures and smooth contours of a texture image that are the dominant features for texture classification. In this paper, we propose a novel Bayesian texture classifier based on the adaptive model-selection learning of Poisson mixtures on the contourlet features of texture images. The adaptive model-selection learning of Poisson mixtures is carried out by the recently established adaptive gradient Bayesian Ying-Yang harmony learning algorithm for Poisson mixtures. It is demonstrated by the experiments that our proposed Bayesian classifier significantly improves the texture classification accuracy in comparison with several current state-of-the-art texture classification approaches.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000300510800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; SCI(E); EI; PubMed; 5; ARTICLE; 3; 909-918; 21
语种英语
出处PubMed ; SCI ; EI
出版者ieee transactions on image processing
内容类型其他
源URL[http://hdl.handle.net/20.500.11897/157240]  
专题数学科学学院
推荐引用方式
GB/T 7714
Dong, Yongsheng,Ma, Jinwen. Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures. 2012-01-01.
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