中文版 | English
Title

An Effective Method for Gas-Leak Area Detection and Gas Identification with Mid-Infrared Image

Author
Corresponding AuthorChen, Wei
Publication Years
2022-12-01
DOI
Source Title
EISSN
2304-6732
Volume9Issue:12
Abstract
Mid-infrared imaging systems are widely applied in gas-leak detection. However, infrared images generally suffer from low contrast and poor quality. In this paper, an image-enhancement method based on Gaussian filtering and adaptive histogram segmentation is proposed to effectively improve the quality of infrared images. It can effectively improve the quality of infrared images, which contributes to the subsequent gas-image feature extraction. The traditional background modeling algorithm is analyzed, and the ViBe (visual background extractor) algorithm is studied in depth. Based on the advantages and disadvantages of the ViBe algorithm and the characteristics of gas-leak images, a gas-leak region detection method based on the improved ViBe algorithm is proposed. The test results show that it can quickly establish a background model, segment the gas-leak region with motion characteristics, and render the gas-leak region in color based on grayscale mapping to achieve the automatic detection and enhanced display of gas leaks.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First
Funding Project
Key-Area Research and Development Program of Guangdong Province[2019B111102003] ; Youth Innovation Promotion Association CAS and International Collaborative Research Program[GJHZ20210705141403009]
WOS Research Area
Optics
WOS Subject
Optics
WOS Accession No
WOS:000904475200001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:2
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/424795
DepartmentCollege of Engineering
Affiliation
1.Southern Univ Sci & Technol, Coll Engn, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China
2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
3.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Peoples R China
First Author AffilicationCollege of Engineering
First Author's First AffilicationCollege of Engineering
Recommended Citation
GB/T 7714
Zhao, Qi,Nie, Xiaoxi,Luo, Dong,et al. An Effective Method for Gas-Leak Area Detection and Gas Identification with Mid-Infrared Image[J]. PHOTONICS,2022,9(12).
APA
Zhao, Qi,Nie, Xiaoxi,Luo, Dong,Wang, Jue,Li, Qiran,&Chen, Wei.(2022).An Effective Method for Gas-Leak Area Detection and Gas Identification with Mid-Infrared Image.PHOTONICS,9(12).
MLA
Zhao, Qi,et al."An Effective Method for Gas-Leak Area Detection and Gas Identification with Mid-Infrared Image".PHOTONICS 9.12(2022).
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