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《Computer Engineering and Applications》 2009-28
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Cell image of wood classification and identification algorithm

REN Hong-e,WANG Hai-feng,ZHAO Peng Northeast Forestry University,Harbin 150040,China  
The image classification algorithm of the microscopic cell of wood based on the texture feature is proposed.The modulus extreme density of the Nonsubsampled Contourlet transform is used to extract the f0eature of cell image classification. The K-nearest neighbor classification method is used to carry out the classification of timber microscopic cell image.Experimental results indicate that the average recognition accuracy is above 85%.The proposed method can effectively achieve the classification of timber microscopic cell image.
【Fund】: 国家自然科学基金No30571455;; 黑龙江省科技攻关项目NoGC05A504~~
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 1 Hits
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【Co-citations】
Chinese Journal Full-text Database 2 Hits
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