| 带钢表面缺陷图像的小波阈值降噪研究 |
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| 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]. 武汉冶金科技大学学报, 2010, 0(1): 38-42 |
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| 作者姓名： | 汤勃 孔建益 王兴东 蒋国璋 熊禾根 杨金堂 |
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| 作者单位： | 武汉科技大学机械自动化学院,湖北武汉430081 |
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| 基金项目： | 武汉市科技攻关基金资助项目（200910321100） |
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| 摘 要： | 以典型带钢表面缺陷图像为例，采用小波阂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闽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，使得小波闽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。
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| 关 键 词： | 带钢表面缺陷 小波 阈值 降噪 |
Wavelet threshold denoising for steel strip surface defect image |
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| Tang Bo,Kong Jianyi,Wang Xingdong,Jiang Guozhang,Xiong Hegen,Yang Jintang. Wavelet threshold denoising for steel strip surface defect image[J]. , 2010, 0(1): 38-42 |
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| Authors: | Tang Bo Kong Jianyi Wang Xingdong Jiang Guozhang Xiong Hegen Yang Jintang |
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| Affiliation: | (College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China) |
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| 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, multiresolution and wavelet base flexibility. |
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| Keywords: | steel strip surface defect wavelet threshold denoising |
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