| 基于BP神经网络木材纹理分类的研究 |
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| 引用本文： | 陈立君,王克奇,王辉. 基于BP神经网络木材纹理分类的研究[J]. 森林工程, 2007, 23(1): 40-42 |
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| 作者姓名： | 陈立君 王克奇 王辉 |
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| 作者单位： | 东北林业大学,哈尔滨,150040 |
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| 基金项目： | 黑龙江省自然科学基金;黑龙江省哈尔滨市自然科学基金 |
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| 摘 要： | 应用 BP 神经网络对常见的10种木材纹理进行了分类研究,获得了比较满意的效果。首先,应用灰度共生矩阵提取了木材的纹理特征参数;其次,在此特征参数体系下,应用 BP 神经网络对木材纹理进行了分类研究,识别率达89%。
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| 关 键 词： | 木材纹理 BP神经网络 灰度共生矩阵 分类 |
| 文章编号： | 1001-005X(2007)01-0040-03 |
| 收稿时间： | 2006-06-14 |
| 修稿时间： | 2006-06-14 |
Research on the Classification of Wood Textures Based on the BP Neural Network |
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| Chen Lijun,Wang Keqi,Wang Hui. Research on the Classification of Wood Textures Based on the BP Neural Network[J]. Forest Engineering, 2007, 23(1): 40-42 |
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| Authors: | Chen Lijun Wang Keqi Wang Hui |
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| Affiliation: | Northeast Forestry University, Harbin 150040 |
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| Abstract: | This paper applied BP neural network to classify the 10 kinds of common wood textures.The results of the classi- fication were reasonable.First,GLCM was used to extract the feature parameters of the wood textures.Then,the BP neural net- work was applied to classify the wood textures under the feature parameter system.The recognition rate was 89%. |
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| Keywords: | wood textures BP neural network GLCM classification |
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