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 auto detection. The application of digital image processing was reviewed in pavement detection, pavement distresses classification and evaluation. The key problems were analyzed, such as image enhancement, image segmentation and edge detection. Some of the latest algorithms and their applications were tested in this paper. The results forcefully supported following conclusion: noise in pavement is effectively removed median filtering, the histogram modification technique is a useable segmentation approach, canny edge detection is the optimum identification of pavement distresses.