沥青混凝土数字图像集料粘连效应分割方法研究

doi:10.3969/j.issn.1002-0268.2015.03.006

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摘要 The processing method of asphalt mixture digital images was investigated on the basis of the gray-level distribution of asphalt concrete images. Some bond areas were found between different aggregates. Watershed segmentation method was used to separate aggregates, the results of which were verified. Aggregate orientations in binary images were analyzed statistically. The correlation between aggregate orientation and aspect ratio was determined. Results showed that the watershed segmentation method can separate aggregates, and that aggregate orientations are affected by the aspect ratio. A more oblate aggregate corresponds to a more concentrated placed orientation.

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	郭庆林
	程永春
	陶敬林

关键词 ： road engineering, asphalt concrete, digital image processing, watershed segmentation, aggregate orientation

Abstract：The processing method of asphalt mixture digital images was investigated on the basis of the gray-level distribution of asphalt concrete images. Some bond areas were found between different aggregates. Watershed segmentation method was used to separate aggregates, the results of which were verified. Aggregate orientations in binary images were analyzed statistically. The correlation between aggregate orientation and aspect ratio was determined. Results showed that the watershed segmentation method can separate aggregates, and that aggregate orientations are affected by the aspect ratio. A more oblate aggregate corresponds to a more concentrated placed orientation.

Key words： road engineering asphalt concrete digital image processing watershed segmentation aggregate orientation

收稿日期: 2015-01-10

基金资助:Supported by the National Natural Science Foundation of China (No.51278222)

通讯作者: GUO Qing-lin, E-mail:guoql@hebeu.edu.cn E-mail: guoql@hebeu.edu.cn

引用本文:

郭庆林, 程永春, 陶敬林. 沥青混凝土数字图像集料粘连效应分割方法研究[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 15-19.
GUO Qing-lin, CHENG Yong-chun, TAO Jing-lin. Investigation on Aggregate Adhesion Segmentation Method in an Asphalt Concrete Digital Image. Journal of Highway and Transportation Research and Development, 2015, 9(3): 15-19.

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