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重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 2017, Vol. 36 ›› Issue (9): 28-31.DOI: 10.3969/j.issn.1674- 0696.2017.09.06

• 道路与铁道工程 • 上一篇    下一篇

基于数字图像处理技术和熵权法分析沥青路面均匀度的方法

梁乃兴1，杜镇宇1，徐建平2，黄志福3   

  1. ( 1.重庆交通大学 土木工程学院,重庆 400074；2.江西省高速公路投资集团有限责任公司,江西 南昌330025； 3. 安徽省交通控股集团有限公司,安徽 合肥 230088)
  • 收稿日期:2016-08-17 修回日期:2017-05-27 出版日期:2017-09-20 发布日期:2017-09-20
  • 作者简介:梁乃兴(1957—)，男，陕西岐山人，教授，博士生导师，主要从事路面结构和材料方面的研究。E-mail：liangnx@cqjtu.edu.cn。 通信作者：杜镇宇（1991—），男，四川平昌人，硕士，主要从事路面结构和材料方面的研究。E-mail: 182468014@qq.com。
  • 基金资助:
    安徽省交通厅科技计划项目(2013SSLMJK)；江西省交通厅重点科技项目（2012C0019）

Analysis Method on Uniformity of Asphalt Pavement Based on Digital Image Processing Technology and Entropy Weight

LIANG Naixing1, DU Zhenyu1, XU Jianping2, HUANG Zhifu3   

  1. (1. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, P.R.China; 2. Jiangxi Expressway Investment Group Co. Ltd., Nanchang 330025, Jiangxi, P.R.China; 3. Anhui Transportation Holding Group Co. Ltd., Hefei 230088, Anhui, P.R.China)
  • Received:2016-08-17 Revised:2017-05-27 Online:2017-09-20 Published:2017-09-20

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摘要： 为了能简单快速地评价沥青路面的离析现象，基于数字图像处理技术，对多幅沥青混合料摊铺时候的图像进行了均匀性相关分析，对图像进行彩色 图像转化为灰度图像、滤波、去噪、直方图均衡化、图像分割、形态学处理、开闭运算等操作之后转化为二值图像；提取出不同档集料颗粒的面积，并利 用熵权法求出不同档集料面积的权重，从而确定出均匀性评价指标值；绘制均匀性评价指标分布图，将所得均匀性评价指标值与图像对比，得到图像集料 颗粒均匀性较好时候均匀性评价指标值范围。研究结果表明：通过熵权法确定的均匀性评价指标值能够较好地反映沥青路面集料的均匀程度。

关键词: 道路工程, 数字图像处理技术, 评价指标, 熵权, 均匀度

Abstract: In order to evaluate the asphalt pavement segregation simply and rapidly, based on digital image processing technology, the correlation analysis on the uniformity of several asphalt mixture paving images was carried out. After a series of image processing, such as converting the color image into gray image, filtering, de-noising, histogram equalization, image segmentation, morphological processing as well as opening and closing operation, the image was converted into binary image. Secondly, the areas of different file aggregate were extracted, and their weights were calculated by the entropy weight method, which determined the homogeneity evaluation index value. Thirdly, the distribution map of homogeneity evaluation index value was plotted; the obtained homogeneity evaluation index value was compared with the image, the range of homogeneity evaluation index value when the aggregate particles were uniformly distributed in the image was obtained. The research results show that the homogeneity evaluation index value determined by entropy weight can reflect the evenness of asphalt pavement aggregate appropriately.

Key words: highway engineering, digital image processing technology, evaluation index, entropy weight, uniformity

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