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沥青混合料油石比的图像识别方法

查旭东 刘林辉 白璐 韩晓亮

查旭东, 刘林辉, 白璐, 韩晓亮. 沥青混合料油石比的图像识别方法[J]. 交通运输工程学报, 2013, 13(1): 1-6. doi: 10.19818/j.cnki.1671-1637.2013.01.001
引用本文: 查旭东, 刘林辉, 白璐, 韩晓亮. 沥青混合料油石比的图像识别方法[J]. 交通运输工程学报, 2013, 13(1): 1-6. doi: 10.19818/j.cnki.1671-1637.2013.01.001
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

沥青混合料油石比的图像识别方法

doi: 10.19818/j.cnki.1671-1637.2013.01.001
基金项目: 

国家自然科学基金项目 51078045

详细信息
    作者简介:

    查旭东(1970-), 男, 安徽岳西人, 长沙理工大学教授, 工学博士, 从事路基路面工程研究

  • 中图分类号: U414.75

Image recognition method of asphalt-aggregate ratio for asphalt mixture

More Information
    Author Bio:

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

  • 摘要: 为了快速方便地检验沥青混合料油石比, 选取普通沥青混合料AC-13C, 按不同油石比击实成型标准马歇尔试件, 并对试件进行水平切割, 采用数码相机拍摄沥青混合料切面的数字照片, 据此通过图像处理提取沥青灰度特征。分析结果表明: 沥青混合料切面图像的灰度频率分布曲线具有典型的双峰分布特征, 通过采用加权的双正态分布概率密度函数拟合左峰半枝灰度频率分布曲线, 所提取的沥青灰度特征明显, 相应得到的识别沥青用量与实际油石比之间具有显著的线性相关性, 判定系数超过0.99;图像识别方法的识别油石比与实际油石比之间的绝对误差一般在±0.1%以内。可见, 采用图像处理技术识别沥青混合料油石比可行。

     

  • 图  1  图像识别流程

    Figure  1.  Image recognition flow

    图  2  4.0%油石比切面灰度图像及灰度频率分布

    Figure  2.  Gray image and gray frequency distribution of cross section at 4.0% asphalt-aggregate ratio

    图  3  4.5%油石比切面灰度图像及灰度频率分布

    Figure  3.  Gray image and gray frequency distribution of cross section at 4.5% asphalt-aggregate ratio

    图  4  5.0%油石比切面灰度图像及灰度频率分布

    Figure  4.  Gray image and gray frequency distribution of cross section at 5.0% asphalt-aggregate ratio

    图  5  5.5%油石比切面灰度图像及灰度频率分布

    Figure  5.  Gray image and gray frequency distribution of cross section at 5.5% asphalt-aggregate ratio

    图  6  6.0%油石比切面灰度图像及灰度频率分布

    Figure  6.  Gray image and gray frequency distribution of cross section at 6.0% asphalt-aggregate ratio

    图  7  灰度频率分布的加权双正态分布拟合

    Figure  7.  Weighted double-normal distribution fitting of gray frequency distribution

    图  8  切面沥青灰度二值图像

    Figure  8.  Binary image of asphalt gray for cross section

    图  9  PaPb的相关关系

    Figure  9.  Correlation between Pa and Pb

    表  1  沥青混合料AC-13C合成级配

    Table  1.   Composite gradation of asphalt mixture AC-13C

    筛孔尺寸/mm 16 13.2 9.5 4.75 2.36 1.18 0.6 0.3 0.15 0.075
    合成级配/% 100.0 97.5 75.1 51.5 35.0 24.3 20.0 14.0 8.5 6.0
    下载: 导出CSV

    表  2  识别沥青用量与实际油石比对比

    Table  2.   Comparison between recognition asphalt content and practical asphalt-aggregate ratio

    Pa / % 4.0 4.5 5.0 5.5 6.0
    Pb/% 20.33 20.94 21.50 21.98 22.52
    下载: 导出CSV

    表  3  识别油石比验证结果

    Table  3.   Verified results of recognition asphalt-aggregate ratios

    实际油石比/% 识别沥青用量/% 识别油石比/% 绝对误差/%
    4.2 20.66 4.27 -0.07
    4.8 21.19 4.76 0.04
    5.4 21.87 5.38 0.02
    下载: 导出CSV
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出版历程
  • 收稿日期:  2012-10-01
  • 网络出版日期:  2022-08-16
  • 刊出日期:  2013-02-25

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