A Method for Extracting Cracks in Complex Pavements Based on Probability Statistics

Aiming at the problem of extracting cracks on highway pavement under complex backgrounds such as water stains and rutting marks, the global image processing method is difficult to separate the foreground and the background, and the cracks cannot be extracted correctly. For this situation, this paper proposes a method based on probability statistics. The original image is divided into blocks, and then statistics and comparisons are performed on each image to complete the preliminary positioning of the crack area, and then perform the traditional image on the crack area. After treatment, the crack was finally extracted successfully. The experimental results show that the method proposed in this paper has a good effect and high accuracy for the extraction of pavement cracks with complex backgrounds.