Crack Detection Based on Gaussian Mixture Model using Image Filtering

Pavement cracks are caused by various factors such as aged deterioration, load and weather conditions, and so on. As these reduce the safety of road traffic, regular inspections are necessary. In recent years, various crack detection methods using pavement images have been proposed. However, they often have problems with accuracy and processing time. Therefore, we considered the crack detection from the viewpoint of image segmentation. In this paper, we propose a new crack detection method combining GMM and image processing which is filtering. The experimental results show that our proposed method is superior to the state-of-the-art crack detection methods in both accuracy and processing time.