金属腐蚀区域图像增强算法研究

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Title:

Image enhancement algorithm in metal corrosion area

作者:

雷芳¹, 熊建斌², 张磊¹, 郭斯羽³

1. 广东石油化工学院 计算机与电子信息学院, 广东 茂名 525000;
2. 广东技术师范学院 自动化学院, 广东 广州 510665;
3. 湖南大学 电气与信息工程学院, 湖南 长沙 410082

Author(s):

LEI Fang¹, XIONG Jianbin², ZHANG Lei¹, GUO Siyu³

1. College of Computer and Electronic Information, Guangdong University of Petrochemical Technology, Maoming 525000, China;
2. School of Automation, Guangdong Polytechnic Normal University, Guangzhou 510665, China;
3. School of Electrical and Information Engineering, Hu’nan University, Changsha 410082, China

关键词:

金属腐蚀图像; HSI模型; 多尺度; 细节自适应增强; 分块同态滤波

Keywords:

metal corrosion image; HSI model; multi-scale; detail-adaptive enhancement; block homomorphic filtering

分类号:

TP391

DOI:

10.11992/tis.201712024

摘要:

针对金属腐蚀区域图像中存在暗细节对比度不高、光照不均匀及颜色特征需保护的问题，提出一种在HSI模型下的多尺度细节自适应增强与同态滤波的增强算法。首先，对RGB腐蚀图像进行色彩空间变换，保留其中的色调和饱和度分量不变，对亮度分量进行增强。然后，通过小波变换进行多尺度细节自适应增强，提升细节对比度并作分块同态滤波，改善光照不均的影响，获得增强后的腐蚀图像。实验结果表明，所提方法增加了腐蚀暗细节的对比度，提高了金属腐蚀区域图像的整体亮度并保证了色彩信息的不失真。

Abstract:

Considering the images of the metal corrosion areas, the dark details have low contrast, and the illumination is not uniform; meanwhile, the color characteristics need to be preserved. To solve these problems, an approach based on multi-scale detail-adaptive enhancement and homomorphic filtering is proposed on the basis of the HSI model. First, the RGB corrosion image was color-transformed, whereby the hue and saturation components were preserved, and the luminance component was enhanced. Then, wavelet transform was used to implement multi-scale detail-adaptive enhancement, increase the contrast of the detail, and apply block homomorphic filtering, so as to improve the impact of non-uniform illumination. Consequently, the corrosion image was enhanced. Experimental results show that the proposed method can increase the contrast of dark details and improve the overall brightness of the image of the metal corrosion area, ensuring that the color information is undistorted.