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Asphalt Mixture Segregation Detection: Digital Image Processing Approach
Joint Authors
Ali, Hesham
Baqersad, Mohamadtaqi
Mohammadafzali, Mojtaba
Hamedi, Amirmasoud
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-05
Country of Publication
Egypt
No. of Pages
6
Abstract EN
Segregation determination in the asphalt pavement is an issue causing many disputes between agencies and contractors.
The visual inspection method has commonly been used to determine pavement texture and in-place core density test used for verification.
Furthermore, laser-based devices, such as the Florida Texture Meter (FTM) and the Circular Track Meter (CTM), have recently been developed to evaluate the asphalt mixture texture.
In this study, an innovative digital image processing approach is used to determine pavement segregation.
In this procedure, the standard deviation of the grayscale image frequency histogram is used to determine segregated regions.
Linear Discriminate Analysis (LDA) is then implemented on the obtained standard deviations from image processing to classify pavements into the segregated and nonsegregated areas.
The visual inspection method is utilized to verify this method.
The results have demonstrated that this new method is a robust tool to determine segregated areas in newly paved FC9.5 pavement types.
American Psychological Association (APA)
Baqersad, Mohamadtaqi& Hamedi, Amirmasoud& Mohammadafzali, Mojtaba& Ali, Hesham. 2017. Asphalt Mixture Segregation Detection: Digital Image Processing Approach. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1125068
Modern Language Association (MLA)
Baqersad, Mohamadtaqi…[et al.]. Asphalt Mixture Segregation Detection: Digital Image Processing Approach. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1125068
American Medical Association (AMA)
Baqersad, Mohamadtaqi& Hamedi, Amirmasoud& Mohammadafzali, Mojtaba& Ali, Hesham. Asphalt Mixture Segregation Detection: Digital Image Processing Approach. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1125068
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125068