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:
SUN Xiu-ming; WU Gui-fang; XU Jin-wu; XU Ke. Image Enhancement Algorithm for Strips Surface Defect Image Based on Wavelet Transform[J]. Computer Engineering, 2009, 35(2): 227-229.
孙秀明;吴贵芳;徐金梧;徐 科. 基于小波变换的带钢表面缺陷图像增强算法[J]. 计算机工程, 2009, 35(2): 227-229.