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带钢表面缺陷图像的小波阈值降噪研究
引用本文:汤勃,孔建益,王兴东,蒋国璋,熊禾根,杨金堂. 带钢表面缺陷图像的小波阈值降噪研究[J]. 武汉科技大学学报(自然科学版), 2010, 33(1)
作者姓名:汤勃  孔建益  王兴东  蒋国璋  熊禾根  杨金堂
作者单位:武汉科技大学机械自动化学院,湖北,武汉,430081
基金项目:武汉市科技攻关基金资助项目 
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.

关 键 词:带钢表面缺陷  小波  阈值  降噪

Wavelet threshold denoising for steel strip surface defect image
Tang Bo,Kong Jianyi,Wang Xingdong,Jiang Guozhang,Xiong Hegen,Yang Jintang. Wavelet threshold denoising for steel strip surface defect image[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2010, 33(1)
Authors:Tang Bo  Kong Jianyi  Wang Xingdong  Jiang Guozhang  Xiong Hegen  Yang Jintang
Affiliation:Tang Bo,Kong Jianyi,Wang Xingdong,Jiang Guozhang,Xiong Hegen,Yang Jintang(College of Machinery , Automation,Wuhan University of Science , Technology,Wuhan 430081,China)
Abstract: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,multi-resolution and wavelet base flexibility.
Keywords:steel strip surface defect  wavelet  threshold  denoising  
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