Abstract:

Based on analysis of joints that interferes with crack detection on cement pavement, a new algorithm is proposed to remove joints and obtain crack identification results by horizontal projection. Firstly, high frequency information of image is obtained by wavelet transform that carries out a binary image containing cracks, joints and noise. Secondly, the joints should be identified and located according to peak features of horizontal projection. Finally, the cracks can be detected accurately after removal of joints. Test illustrats that joints of cement pavement can be removed effectively with this algorithm. Simulation shows that the algorithm can remove the joints effectively, and therefore, the automatic inspecting of cement pavement cracks can be implemented.

Key words: road engineering, cement pavement crack, image analysis, crack detection