An Image Processing Approach to Asphalt Concrete Feature Extraction
Fereidoon Moghadas Nejad1, Farah Zare Motekhases1,2, Hamzeh Zakeri1,2
, Li-Jun Wang4, and James M. Monaghan4
1.Dept. of Civil and Environment Engineering, Amirkabir Univ. of Technology, Tehran, Iran
2.Department of civil and environmental Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
2.Department of civil and environmental Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
Abstract— In this study, a new approach is used to predict asphalt concrete superficial feature using a new digital image processing technique based on a 3D computational modeling of CT scan images from asphalt samples. Digital image processing algorithm is developed to identify and detect the 3 phases of asphalt mixture (Aggregate, Mastic and Air void).The 3D microstructure of the asphalt mixture captured from two dimensional X-ray images. The laboratory measurements of the asphalt mixture features compared with image processing characteristics. It is found that the image processing algorithm is an effective tool for description of general properties of cores and compaction. This algorithm enables us to product new model toward NDT test realm.
Index Terms— Asphalt compaction, C.T scan images, image processing, NDT
Cite: Fereidoon Moghadas Nejad, Farah Zare Motekhases, Hamzeh Zakeri, and Ahmad Mehrabi, "An Image Processing Approach to Asphalt Concrete Feature Extraction," Journal of Industrial and Intelligent Information, Vol. 3, No. 1, pp. 54-60, March 2015. doi: 10.12720/jiii.3.1.54-60
Index Terms— Asphalt compaction, C.T scan images, image processing, NDT
Cite: Fereidoon Moghadas Nejad, Farah Zare Motekhases, Hamzeh Zakeri, and Ahmad Mehrabi, "An Image Processing Approach to Asphalt Concrete Feature Extraction," Journal of Industrial and Intelligent Information, Vol. 3, No. 1, pp. 54-60, March 2015. doi: 10.12720/jiii.3.1.54-60