OPT OpenIR  > 飞行器光学成像与测量技术研究室
Image Enhancement Technology in Pavement Disease Detection System
Li, Xuefeng1; Zhou, Zuofeng2; Wu, Qingquan2
2022
Conference Name2nd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2022
Source Publication2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information, ICETCI 2022
Pages547-549
Conference Date2022-05-27
Conference PlaceChangchun, China
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank1
Abstract

Efficient pavement bad location detection and repair is essential to prolong the use time of roads. However, traditional manual detection methods are extremely inefficient and can no longer meet the requirements of inspecting a large number of roads. When using deep learning technology for road disease detection, it is found that low-illuminance images will affect the detection accuracy due to low contrast. Therefore, before training and testing the deep learning model, the original image needs to be preprocessed to improve the image quality. First, bilateral filtering is used instead of Gaussian filtering to estimate the illuminance of the original image; Then the reflection component is get according to the principle of Retinex algorithm, and the reflection image is quantized; Finally, the image is subjected to illumination compensation. The results of comparative experiments display that the ours algorithm can retain the characteristic details of road diseases and eliminate the unevenness of the image brightness distribution while improving the contrast of the road image. © 2022 IEEE.

Keywordpavement diease retinex image enhancement
Department飞行器光学成像与测量技术研究室
DOI10.1109/ICETCI55101.2022.9832258
Indexed ByEI
ISBN9781728181158
Language英语
EI Accession Number20223312571189
Citation statistics
Document Type会议论文
Identifierhttp://ir.opt.ac.cn/handle/181661/96123
Collection飞行器光学成像与测量技术研究室
Corresponding AuthorZhou, Zuofeng
Affiliation1.Xi'an Institute of Optics and Precision Mechanics, Cas, University of Chinese Academy of Sciences, Beijing, China;
2.Xi'an Institute of Optics and Precision Mechanics, Cas, Industrial Development Co., Ltd, Xi'an, China
Recommended Citation
GB/T 7714
Li, Xuefeng,Zhou, Zuofeng,Wu, Qingquan. Image Enhancement Technology in Pavement Disease Detection System[C]:Institute of Electrical and Electronics Engineers Inc.,2022:547-549.
Files in This Item:
File Name/Size DocType Version Access License
Image Enhancement Te(787KB)会议论文 限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Li, Xuefeng]'s Articles
[Zhou, Zuofeng]'s Articles
[Wu, Qingquan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Li, Xuefeng]'s Articles
[Zhou, Zuofeng]'s Articles
[Wu, Qingquan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Li, Xuefeng]'s Articles
[Zhou, Zuofeng]'s Articles
[Wu, Qingquan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.