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

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

CLC Number: 

• TP301.6