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Proceedings Paper

Wavelet-based asphalt concrete texture grading and classification
Author(s): Ali Almuntashri; Sos Agaian
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Paper 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.

Paper Details

Date Published: 3 February 2011
PDF: 10 pages
Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78701A (3 February 2011); doi: 10.1117/12.876682
Show Author Affiliations
Ali Almuntashri, The Univ. of Texas at San Antonio (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 7870:
Image Processing: Algorithms and Systems IX
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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