基于图像处理的水泥路面表面裂缝检测

H. Lei, Jianlian Cheng, Qi Xu
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引用次数: 2

摘要

介绍了图像识别技术在水泥路面裂缝检测中的应用,提出了灰度拉伸阈值的确定方法。该算法采用二值化设计,具有自适应的特点。在对图像进行预处理后,应用二维小波和拉普拉斯算子对图像进行处理。根据灰度图像像素的特点,设计了一种二值化图像的算法。通过与Otsu法、迭代法和固定阈值法三种算法的图像处理结果进行比较,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cement Pavement Surface Crack Detection Based on Image Processing
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. the algorithm is designed about 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.
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审稿时长
24 weeks
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