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CHA Xu-dong, LIU Lin-hui, BAI Lu, HAN Xiao-liang. Image recognition method of asphalt-aggregate ratio for asphalt mixture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1): 1-6. doi: 10.19818/j.cnki.1671-1637.2013.01.001
Citation: CHA Xu-dong, LIU Lin-hui, BAI Lu, HAN Xiao-liang. Image recognition method of asphalt-aggregate ratio for asphalt mixture[J]. Journal of Traffic and Transportation Engineering, 2013, 13(1): 1-6. doi: 10.19818/j.cnki.1671-1637.2013.01.001
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Image recognition method of asphalt-aggregate ratio for asphalt mixture

doi: 10.19818/j.cnki.1671-1637.2013.01.001

  • School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410004, Hunan, China

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  • Author Bio:

    ZHA Xu-dong(1970-), male, professor, PhD, +86-731-85258249, xdzha@tom.com

  • Received Date: 2012-10-01
    Available Online: 2022-08-16
  • Publish Date: 2013-02-25
    Abstract
  • In order to verify the asphalt-aggregate ratio of asphalt mixture in a rapid and convenient way, the common asphalt mixture AC-13C was selected to shape standard Marshall specimens at different asphalt-aggregate ratios with compaction method. The specimens were cut horizontally, the digital photos of cross sections for asphalt mixture were photographed with a digital camera, and asphalt gray features were extracted by using image processing method. Analysis result shows that there is a typical double-peak distribution feature for the gray frequency distribution curve in the cross section image of asphalt mixture. The weighted probability density function of double-normal distribution is applied to fit the left peak semi-branch curve of gray frequency distribution, and the extracted asphalt gray features are obvious. There is a significant linear correlation between the obtained recognition asphalt contents and the practical asphalt-aggregate ratios, and the determination coefficient is more than 0.99. The absolute errors between the recognition asphalt-aggregate ratios of image recognition method and the practical asphalt-aggregate ratios are generally within ±0.1%. So the application of image processing technology is feasible to recognize the asphalt-aggregate ratio of asphalt mixture.

     

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