Adaboost-based Crack Detection Method for Pavement

In highway pavement, pavement crack is the most common and harmful disease, which has seriously affected road quality. This article reviews the current texture feature processing algorithms and analyses the principle of Adaboost algorithm from aspects of image processing, texture feature extraction and recognition. And we use OpenCV to train classifiers and identify cracks in cement pavements and asphalt pavements from a software perspective. Finally, this paper uses Adaboost algorithm to detect the cracks on cement pavement and asphalt pavement and achieve the desired effect.