Abstract:Pavement crack detection plays an important role in pavement maintaining and management. In recent years, pavement crack detection technique based on range image is a recent trend due to its ability of discriminating oil spills and shadows. Existing pavement crack detection methods didn't effectively detect transverse and reticular cracks, because these methods generally represented the geometry feature of crack using single laser scanning lines, which didn't take the effects of spatial variability, anisotropy and integrity into account. Aimed at the existing arithmetic insufficiency, the pavement crack detection fused histogram of oriented gradient and watershed algorithm was proposed. Firstly, crack edge location was detected using histogram of oriented gradient in road range image, and edge strength and orientation were obtained. Then, crack segmentation based on traditional watershed method was improved by edge orientation. Experiment results show that the proposed method is able to accurately detect different type of crack edge and identify the extent of the damage cracks simultaneously.