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contributor authorFan, Ching-Lung
date accessioned2026-08-20T10:40:09Z
date available2026-08-20T10:40:09Z
date copyright2026/01/06
date issued2026
identifier otherJCEMD4.COENG-16994.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311097
description abstractAbstractDeep learning–based computer vision technology has become an effective tool for crack detection and segmentation, and it has considerable potential for application in infrastructure maintenance. Crack detection and segmentation are the two core ...Practical ApplicationsIdentifying and measuring cracks in concrete structures is essential for ensuring their safety and longevity. This study presents a practical approach to detecting and analyzing concrete cracks using computer vision technology. By ...
publisherAmerican Society of Civil Engineers
titleCrack Identification and Severity Analysis via Computer Vision: Comparative Study of RGB and Grayscale Imagery
typeJournal Article
journal volume152
journal issue3
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-16994
journal fristpage04026004-1
journal lastpage04026004-17
page17
treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 003
contenttypeFulltext


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