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http://dx.doi.org/10.9723/jksiis.2017.22.2.061

Vehicle Headlight Alignment Calibration and Classification Using OpenMP  

Moon, Chang-Bae (금오공과대학교 ICT융합특성화연구센터)
Kim, Kun-Hong (금오공과대학교 컴퓨터IT학과, 프로텍 코퍼레이션)
Kim, Byeong-Man (금오공과대학교 컴퓨터소프트웨어공학과)
Oh, Dukhwan (금오공과대학교 컴퓨터소프트웨어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.22, no.2, 2017 , pp. 61-70 More about this Journal
Abstract
In This Paper, the Classification Speed of Vehicle Headlight Modules is Improved by a CPU-based Parallel Processing Using OpenMP. Also, a Classification Method of Headlight Modules which Extracts their Features after Revising their Alignment is Proposed. To Analyze the Performance of the Proposed Method, the Discrimination Accuracy and the Processing Speed were Compared with the Method Using Gray Image and the Method Using Line Detection. As the Results of the Analysis, in the Discrimination Accuracy, the Proposed Method and the Line Detection Method Showed good Performance, but the Proposed Method Showed Better Performance than the Line Detection Method by the Processing Speed. Also, the Gray-based Method was the Best in Processing Speed, but the Proposed Method is Better than the Gray-based Method in the Discrimination Accuracy.
Keywords
OpenMP; Image Processing; Likelihood; Parallel Processing; Vehicle Headlight; Alignment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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