基于LabVIEW的织物疵点检测的小波去噪方法研究

Study on the method of wavelet denoising to fabric defects detection based on LabVIEW

本文以LabVIEW (Laboratory Virtual Instrument Engineering Workbench)为软件开发平台,运用小波变换理论,对织物疵点检测的去噪方法进行研究。同时结合LabVIEW编程语言详细分析小波去噪的原理及小波去噪的具体设计。实验结果表明,小波变换能有效去除织物图像中的噪声,突出并增强织物的疵点部分,为后续图像的进一步处理提供有力的帮助。

Taking LabVIEW(Laboratory Virtual Instrument Engineering Workbench) as the software platform together with the theory of wavelet transform,this thesis studies the method of wavelet denoising to fabric defects detection.We particularly analyze the theory and processing of wavelet denoising with LabVIEW program lan- guage.The experimental results demonstrate that wavelet transform can remove the noise and enhance the defects areas effectively,and then it provides powerful help for the further image processing.