[1]LEI Fang,XIONG Jianbin,ZHANG Lei,et al.Image enhancement algorithm in metal corrosion area[J].CAAI Transactions on Intelligent Systems,2019,14(2):385-392.[doi:10.11992/tis.201712024]
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Image enhancement algorithm in metal corrosion area

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 14 Number of periods: 2019 2 Page number: 385-392 Column: 学术论文—机器感知与模式识别 Public date: 2019-03-05
Title:
Image enhancement algorithm in metal corrosion area
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
Keywords:
metal corrosion image; HSI model; multi-scale; detail-adaptive enhancement; block homomorphic filtering
CLC:
TP391
DOI:
10.11992/tis.201712024
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.
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