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Investigation on Aggregate Adhesion Segmentation Method in an Asphalt Concrete Digital Image |
GUO Qing-lin1, CHENG Yong-chun2, TAO Jing-lin2 |
1. School of Civil Engineering, Hebei University of Engineering, Handan Hebei 056038, China;
2. School of Transportation, Jilin University, Changchun Jilin 130025, China |
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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.
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Received: 10 January 2015
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Fund:Supported by the National Natural Science Foundation of China (No.51278222) |
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[1] DENG Xue-jun. Subgrade and Pavement Engineering[M]. 2nd ed. Beijing:China Communications Press,2005. (in Chinese)
[2] ZHANG Deng-liang. Asphalt Paavement[M]. Beijing:China Communications Press,1999. (in Chinese)
[3] YAN Jia-ji. Road Construction Materials[M]. Beijing:China Communications Press,2004. (in Chinese)
[4] XIONG Rui,CHEN Shuan-fa,GUAN Bo-wen. Application of Grey Entropy Method to Analyze Influencing Factors of Durability of Asphalt Mixture under Freeze-thaw and Corrosion[J]. Journal of Highway and Transportation Research and Development, 2013, 30(1):28-32. (in Chinese)
[5] GUO Qing-lin. Research on Internal Stress Distribution of Asphalt Mixture and Its Impact on Viscoelastic Performance[D]. Changchun:Jilin University, 2013. (in Chinese)
[6] YUE Z Q, BEKKING W, MORIN I. Application of Digital Image Processing to Quantitative Study of Asphalt Concrere Microstructure[J]. Transportation Research Record:Journal of the Transportation Research Board, 1995, 1492:53-60.
[7] YUE Z Q, MORIN I. Digital Image Processing for Aggregate Orientation in Asphalt Concrete Mixtures[J]. Canadian Journal of Civil Engineering, 1996, 23(2):479-489.
[8] MASAD E, MUHUNTHAN B, SHASHIDHAR N, et al. Aggregate Orientation and Segregation in Asphalt Concrete[C]//Proceedings of Sessions of Geo-Congress 98. Boston:American Society of Civil Engineers, 1998:69-80.
[9] TASHMAN L,MASAD E,PETERSON B, et al. Internal Structure Analysis of Asphalt Mixes to Improve the Simulation of Superpave Gyratory Compaction to Field Conditions[J]. Journal of the Association of Asphalt Paving Technologists, 2001, 70:605-645.
[10] MASAD E, BUTTON J. Implications of Experimental Measurements and Analyses of the Internal Structure of HMA[J]. Transportation Research Record:Journal of the Transportation Research Board, 2004, 1891:212-220.
[11] PENG Yong, YANG Yu-liang, DONG Rui-kun, et al. Index System of Sub-Microstructure Analysis System of Asphalt Concrete (MASAC)[J]. Journal of Chongqing Jianzhu University, 2007, 29(3):115-119. (in Chinese)
[12] ZHANG Xiao-ning, LI Zhi, YU Jiang-miao. Evaluating the Volumetric Properties of Asphalt Mixtures with Digital Image Processing Technique[J]. Journal of South China University of Technology:Natural Science Edition, 2002, 30(11):113-118. (in Chinese)
[13] ZHANG Lei. Study of Composition of Asphalt Mixture Base on Internal Analysis[D]. Harbin:Harbin Institute of Technology, 2008. (in Chinese)
[14] SHA Ai-min, WANG Chao-fan, SUN Zhao-yun. An Image-based Mineral Gradation Measurement Method of Asphalt Mixture[J]. Journal of Chang'an University:Natural Science Edition, 2010, 30(5):1-5. (in Chinese)
[15] GOPALAKRISHNAN K, SHASHIDHAR N, ZHONG X. Attempt at Quantifying the Degree of Compaction in HMA Using Image Analysis[C]//Geo-frontiers Congress 2005. Austin, Texas:American Society of Civil Engineers, 2005:24-26.
[16] VINCENT L,SOILL E P. Watersheds in Digital Spaces:An Efficient Algorithm Based on Immersion Simulations[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1991, 13(6):583-598. |
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