| 基于二维小波变换和BP神经网络的织物疵点检测方法 |
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| 引用本文： | 徐晓峰,段红,魏俊民. 基于二维小波变换和BP神经网络的织物疵点检测方法[J]. 浙江理工大学学报, 2004, 21(1): 15-19 |
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| 作者姓名： | 徐晓峰 段红 魏俊民 |
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| 作者单位： | 浙江工程学院机械与自动控制学院,浙江,杭州,310033 |
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| 摘 要： | 采用了二维离散小波变换对织物图像进行处理,根据小波变换后高、低频分量的特点,提取分解子图像的特征值,送入BP神经网络进行识别,从而实现织物疵点的检测.
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| 关 键 词： | 小波变换 神经网络 疵点检测 织物 |
| 文章编号： | 1009-4741(2004)01-0015-05 |
| 修稿时间： | 2003-10-28 |
Fabric Defect Detection with Two-Dimensional Wavelet Transform and BP Neural Network |
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| XU Xiao-feng,DUAN Hong,WEI Jun-min. Fabric Defect Detection with Two-Dimensional Wavelet Transform and BP Neural Network[J]. Journal of Zhejiang Sci-tech University, 2004, 21(1): 15-19 |
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| Authors: | XU Xiao-feng DUAN Hong WEI Jun-min |
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| Abstract: | Fabric images are dealt with two-dimensional wavelet transform. The characteristics of the decomposed sub images are drawn, the values of which are trained and recognized by BP neural network so that the fabric defect can be detected. |
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| Keywords: | Wavelet transform Neural network Fabric defect detect Fabrics |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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