Mechanical Engineering Science

Cement Pavement Surface Crack Detection Based on Image Processing

LeiHongwei, ChengJianlian, XuQi


This article introduces the application of image recognition technology in cement pavement crack detection and put forward to method for determining threshold about grayscale stretching. This algorithm is designed for binarization which has a self-adaptive characteristic. After the image is preprocessed, we apply 2D wavelet and Laplace operator to process the image. According to the characteristic of pixel of gray image, an algorithm designed on binarization for Binary image. The feasibility of this method can be verified the image processed by comparing with the results of three algorithms: Otsu method, iteration method and fixed threshold method.


Pavement crack detection; Grayscale stretching; Self-adaptive; 2D Wavelet; Laplace; Binarization

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