小波分析用于织物疵点检测的图像增强研究  

Research of the Application of Wavelet Analysis to Image Inhancement for Fabric Defects Detection

作　　者：王朝莉[1] 汪黎明[1] 高水平[1] 

机构地区：[1]青岛大学纺织服装学院,山东青岛266071

出　　处：《青岛大学学报（工程技术版）》2006年第1期77-81,共5页Journal of Qingdao University(Engineering & Technology Edition)

摘　　要：对采用小波分析去除噪声来进行疵点图像的增强以用于织物疵点自动检测进行了探索。借助MATLAB小波分析工具箱,研究了小波分析在对疵点图像进行去噪等图像增强方面的实际应用,并对全局阈值降噪和分层阈值降噪两种方法做了比较。实验结果表明,小波变换可以较容易地分离出噪声或其他不需要的信息;小波分析用于疵点识别的图像增强,能有效地消除噪声,去除织物纹理的影响,分层阈值法在此应用上更优于全局阈值法。The application of wavelet analysis to image de-noising to enhance images for automatically detecting fabric defects is probed. By means of Wavelet Toolbox in MATLAB, the application of wavelet analysis to image enhancement, especially image de-noising for detecting fabric defects, is studied, and the two kinds of de-noising： global thresholding and level-dependent thresholding are compared. The results show that the noise or other things needless can be easily separated by means of wavelet transformation. It is testified that wavelet analysis applied to image enhancement for detecting fabric defects can effectively eliminate the noise and the influence of fabric grain and level-dependent thresholding is prior to global thresholding.

关 键 词：小波分析 小波降噪 图像增强 织物疵点检测 

分 类 号：TS10[轻工技术与工程—纺织工程]