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Cement Pavement Surface Crack Detection Based on Image Processing 被引量:1
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作者 Hongwei Lei Jianlian Cheng Qi Xu 《Mechanical Engineering Science》 2019年第1期46-51,共6页
This article introduces the application of image recognition technology in cement pavement crack detection and put forward to method fordetermining threshold about grayscale stretching. This algorithm is designed for ... This article introduces the application of image recognition technology in cement pavement crack detection and put forward to method fordetermining threshold about grayscale stretching. This algorithm is designed for binarization which has a self-adaptive characteristic. After theimage is preprocessed, we apply 2D wavelet and Laplace operator to process the image. According to the characteristic of pixel of gray image, analgorithm designed on binarization for Binary image. The feasibility of this method can be verified the image processed by comparing with theresults of three algorithms: Otsu method, iteration method and fixed threshold method. 展开更多
关键词 Pavement crack DETECTION GRAYSCALE STRETCHING SELF-ADAPTIVE 2D Wavelet LAPLACE BINARIZATION
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