基于小波变换的带钢表面缺陷图像增强算法

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

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。

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.