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计算机工程 ›› 2009, Vol. 35 ›› Issue (2): 227-229. doi: 10.3969/j.issn.1000-3428.2009.02.080

• 图形图像处理 • 上一篇    下一篇

基于小波变换的带钢表面缺陷图像增强算法

孙秀明1,吴贵芳1,徐金梧2,徐 科2   

  1. (1. 河南科技大学电子信息工程学院,洛阳 471003;2. 北京科技大学高效轧制国家工程研究中心,北京 100083)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-01-20 发布日期:2009-01-20

Image Enhancement Algorithm for Strips Surface Defect Image Based on Wavelet Transform

SUN Xiu-ming1, WU Gui-fang1, XU Jin-wu2, XU Ke2   

  1. (1. Electronic Information Engineering College, Henan University of Science & Technology, Luoyang 471003; 2. National Engineering Research Center of Advanced Rolling Technology, University of Science & Technology Beijing, Beijing 100083)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-01-20 Published:2009-01-20

摘要: 针对传统图像增强算法在处理有大量噪声、光照不足或不均匀的图像,尤其是实际现场的带钢表面图像时效果较差的问题,提出基于小波变换的图像增强算法,将其应用于冷轧带钢表面缺陷图像的增强中。对比实验结果表明,该方法的增强效果和抗噪性能明显优于传统算法。

关键词: 冷轧带钢, 表面缺陷图像, 小波变换, 图像增强

Abstract: Traditional image enhancement algorithms can not get ideal effect when processing the images with lots of noises and insufficient or non-symmetric light, especially for surface images of cold rolled strips on industrial site. To settle the problem, this paper proposes a wavelet-based algorithm for image enhancement and applies it to enhance strips surface defect images. Experiments show that the algorithm excels traditional ones in image enhancement effects and anti-noise capabilities.

Key words: cold rolled strips, surface defect image, wavelet transform, image enhancement

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