摘要
以典型带钢表面缺陷图像为例,采用小波阈值降噪方法研究带钢表面缺陷图像的小波阈值降噪规律,并论述了带钢表面缺陷图像阈值的选择和小波基的选取。结果表明,图像经过小波变换后具有低熵性、多分辨率和选基灵活性等特点,使得小波阈值降噪提高了图像的信噪比、改善图像的质量,并且增强图像的清晰度。
Taking typical strip surface defect images as an example, this paper studies the methods and rules of steel strip surface defect image denoising based on wavelet threshold, and discusses the threshold selection and mother wavelet selection. The results show that wavelet threshold denoising can improve the image PSNR, quality, and clarity because wavelet transform has low entropy, multiresolution and wavelet base flexibility.
出处
《武汉科技大学学报》
CAS
2010年第1期38-42,共5页
Journal of Wuhan University of Science and Technology
基金
武汉市科技攻关基金资助项目(200910321100)
关键词
带钢表面缺陷
小波
阈值
降噪
steel strip surface defect
wavelet
threshold
denoising
