2015
DOI: 10.11004/kosacs.2015.6.3.069
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Detecting of the defects of pavement of a road by using infrared thermography

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Cited by 2 publications
(4 citation statements)
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“…2 presents the flowchart of the image processing procedure. Sim et al (2015) attempted to detect the edge of the defective zone in the road pavement using such image processing technique but the defect detection performance appeared to be significantly lower than the dimensionless temperature graph [9]. Accordingly, the present study intends to verify the possibility to detect the defect edge by applying values of 0.15 and 0.20 instead of 0.35 for the standard deviation of the Gauss filtering in this image processing technique.…”
Section: Application Of Image Processing Techniquementioning
confidence: 88%
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“…2 presents the flowchart of the image processing procedure. Sim et al (2015) attempted to detect the edge of the defective zone in the road pavement using such image processing technique but the defect detection performance appeared to be significantly lower than the dimensionless temperature graph [9]. Accordingly, the present study intends to verify the possibility to detect the defect edge by applying values of 0.15 and 0.20 instead of 0.35 for the standard deviation of the Gauss filtering in this image processing technique.…”
Section: Application Of Image Processing Techniquementioning
confidence: 88%
“…Other researchers also exploited image processing to measure the area in specimens made of composite materials [10]. Lately, Sim et al (2015) improved the previous thermography by using the natural light as heat source for the road pavement [9]. These authors combined the analysis of the dimensional temperature distribution and the image processing.…”
Section: Introductionmentioning
confidence: 99%
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