关键词: 纹理特征, 分类, 非下采样Contourlet变换, 木材细胞

Abstract: 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.

Key words: texture feature, classification, nonsubsampled Contourlet transform, wood cell