摘要
通过分析方向性织物纹理的特点,提出了一种织物疵点检测新的方法。首先根据正常纹理Hough变换确定织物纹理的纹路方向;然后采用方向性小波对织物纹理图像进行方向性的分解,并在此基础上从分解后的各细节子图中提取子窗口的特征;最后通过BP神经网络进行织物疵点识别。实验结果表明了该方法的有效性。
By analyzing the characteristics of directional fabric textures, a new method for defect detection is presented. Firstly, the main lines of texture fabric texture are detected by the normal fabric texture Hough transform. Then, fabric texture images are decomposed by the directional wavelet. On this basis, the sub-windows of characteristics are extracted from the detailed sub-images. Finally, the fabric defects are identified by the BP neural network. The experimental results show that this method is effective.
出处
《计算机工程与科学》
CSCD
北大核心
2011年第3期73-76,共4页
Computer Engineering & Science
基金
西安工程大学博士科研基金项目(BS1005)
关键词
方向性纹理
HOUGH变换
小波分解
疵点检测
directional texture
Hough transform
wavelet decomposition
defect detection
