Enhanced adaptive filter-bank-based automated pavement crack detection and segmentation system

Clyde A. Lettsome; Yi-Chang J. Tsai; Vivek Kaul

doi:10.1117/1.JEI.21.4.043008

15 October 2012 Enhanced adaptive filter-bank-based automated pavement crack detection and segmentation system

Clyde A. Lettsome, Yi-Chang J. Tsai, Vivek Kaul

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 4, 043008 (October 2012). https://doi.org/10.1117/1.JEI.21.4.043008

Abstract

We incorporate, evaluate, and assess the feasibility of using filter banks in automated pavement distress systems from a system level. We integrate a novel filter-bank-based distress segmentation method, which, unlike previously researched methods, does not depend on highpass data. In addition, we incorporate the standard Said Pearlman set partitioning in hierarchical trees compression coder into the automated pavement distress system, which is a first in this area of research. A third contribution of the research is a statistical detection algorithm that assists in overall system performance. Preliminary testing using images provided by the Georgia Department of Transportation demonstrate the promise of the proposed method.

Citation Download Citation

Clyde A. Lettsome, Yi-Chang J. Tsai, and Vivek Kaul "Enhanced adaptive filter-bank-based automated pavement crack detection and segmentation system," Journal of Electronic Imaging 21(4), 043008 (15 October 2012). https://doi.org/10.1117/1.JEI.21.4.043008

Published: 15 October 2012

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