Automatic Crack Detection and Segmentation Using a Hybrid Algorithm for Road Distress Analysis

In this paper, we investigate advanced image processing technologies to detect cracks for road distress analysis. An algorithm which can detect and segment cracks effectively is proposed. The proposed algorithm is a hybrid crack detection and segmentation algorithm. In the proposed detection and segmentation algorithm, we first use histogram based thresholding method to get the rough locations of the cracks and then mathematics morphology technologies and B-spline based snake model based technology are used to refine the locations of the cracks. We conducted experiments on 10 images with different types of cracks and experimental results show that the proposed technologies can be used for find the cracks effectively.