Wavelet-based asphalt concrete texture grading and classification

Ali Almuntashri; Sos Agaian

doi:10.1117/12.876682

3 February 2011 Wavelet-based asphalt concrete texture grading and classification

Ali Almuntashri, Sos Agaian

Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78701A (2011) https://doi.org/10.1117/12.876682
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

In this Paper, we introduce a new method for evaluation, quality control, and automatic grading of texture images representing different textural classes of Asphalt Concrete (AC). Also, we present a new asphalt concrete texture grading, wavelet transform, fractal, and Support Vector Machine (SVM) based automatic classification and recognition system. Experimental results were simulated using different cross-validation techniques and achieved an average classification accuracy of 91.4.0 % in a set of 150 images belonging to five different texture grades.

Citation Download Citation

Ali Almuntashri and Sos Agaian "Wavelet-based asphalt concrete texture grading and classification", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78701A (3 February 2011); https://doi.org/10.1117/12.876682

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