Automated Classification Algorithm of Pavement Crack Based on Digital Image Processing

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China Journal of Highway and Transport ›› 2014, Vol. 27 ›› Issue (9) : 10-18,24.

PENG Bo^1,2, JIANG Yang-sheng^1,3,4, PU Yun¹

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In order to fully obtain pavement crack condition and provide a reference for pavement maintenance and management, pavement performance evaluation and prediction, pavement structure and material design, the research on automatic classification and intensity recognition of pavement cracks was conducted. First, crack contours were vectorized, thus a single crack area was separated from the others, whose crack features could be calculated and analyzed. Second, new crack features such as orientation angle, lumpiness and cavity were extracted. Then, pavement classification features were selected such as cavity, length-width ratio and significant degree of orientation angle, and based on the statistical thresholds, linear cracks and netted cracks were distinguished from each other. At last, linear crack categories and intensities were classified according to orientation angle and width respectively and block and alligator cracks and corresponding intensities were recognized on the basis of lumpiness characteristics. The results show that pavement crack types and intensities are identified precisely and effectively, consequently, pavement crack type and intensity information can be collected in an accurate, automatic and real-time manner without human intervention.

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road engineering / pavement crack / image processing / classification algorithm / contour vectorization / lumpiness

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PENG Bo, JIANG Yang-sheng, PU Yun. Automated Classification Algorithm of Pavement Crack Based on Digital Image Processing[J]. China Journal of Highway and Transport, 2014, 27(9): 10-18,24

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Received	Published
2013-11-18	2014-09-20
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2014-10-10

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