Surface Distresses Detection of Pavement Based on Digital Image Processing
Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement crack for its advantages of large amount of information and automatic detection. The applications of digital image processing in pavement crack detection, distresses classification and evaluation were reviewed in the paper. The key prob-lems were analyzed, such as image enhancement, image segmentation and edge detection. The experiment results of the commonly used algorithms forcefully supported following conclusion: the noise in pavement crack images is effec-tively removed by median filtering, the histogram modification technique is a useable segmentation approach, the canny edge detection is an ideal identifica-tion approach of pavement distresses.
Digital Image processing Crack detection Edge detection Imagesegmentation.
Aiguo Ouyang Chagen Luo Chao Zhou
Key Laboratory of Conveyance and Equipment, Ministry of Education, East China Jiaotong University, N Jiangxi Agricultural University, Nanchang, China
国际会议
南昌
英文
368-375
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）