期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：189
期号：2
页码：022005
DOI：10.1088/1755-1315/189/2/022005
语种：English
出版社：IOP Publishing
摘要：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.
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