| 基于小波分解与分形维的木材纹理分类 |
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| 引用本文： | 谢永华,钱玉恒,白雪冰.基于小波分解与分形维的木材纹理分类[J].东北林业大学学报,2010,38(12). |
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| 作者姓名： | 谢永华 钱玉恒 白雪冰 |
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| 作者单位： | 1. 东北林业大学,哈尔滨,150040
2. 哈尔滨工业大学 |
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| 基金项目： | 黑龙江省自然科学基金项目(2008F16) |
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| 摘 要： | 为了对木材纹理进行分类,用Symlet-4小波对1 000幅木材纹理图像进行了2级分解并重构,形成8幅子图像。利用自相关函数对8幅重构图像及原图像计算了分形维数。分析表明:原木材图像的分形维数反映了木材纹理的总体规则性和复杂程度;多分辨率下,各近似和水平、垂直、对角三个细节图像的分形维数描述了纹理细节,当木材纹理细致时,图像的分形维数较小;当木材纹理粗糙时,分形维数较大。
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| 关 键 词： | 木材纹理 分形维数 自相关函数 小波分析 |
Classification of Wood Texture Based on Wavelet Transform and Fractal Dimension |
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| Xie Yonghua,Qian Yuheng,Bai Xuebing.Classification of Wood Texture Based on Wavelet Transform and Fractal Dimension[J].Journal of Northeast Forestry University,2010,38(12). |
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| Authors: | Xie Yonghua Qian Yuheng Bai Xuebing |
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| Institution: | Xie Yonghua(School of Mechanical , Electrical Engineering,Northeast Forestry University,Harbin 150040,P.R.China),Qian Yuheng(Harbin Institute of Technology),Bai Xuebing(Northeast Forestry University) |
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| Abstract: | In order to classify wood by its texture,1 000 wood texture images were decomposed and reconstructed at 2-level by Symlet-4 wavelets,and each original image generated eight sub-images.Fractal dimensions of the eight reconstructed sub-images and original images were calculated by autocorrelation function.Results indicated that the fractal dimension of original images reflected the overall regularity and complexity of texture.The fractal dimension value of horizontal,vertical,diagonal directions of the detail... |
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| Keywords: | Wood texture Fractal dimension Autocorrelation functions Wavelet analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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