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toledo1261101841.pdf (1.05 MB)
ETD Abstract Container
Abstract Header
Beamlet Transform Based Technique for Pavement Image Processing and Classification
Author Info
Ying, Liang
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1261101841
Abstract Details
Year and Degree
2009, Master of Science, University of Toledo, Electrical Engineering.
Abstract
The goal of this thesis is to develop and implement an algorithm to automatically detect and classify cracks from pavement images using digital image processing techniques. The proposed method uses a pavement distress image enhancement algorithm to correct the non-uniform background illumination by calculating the multiplicative factors that eliminate the background lighting variations. To extract the linear features such as surface cracks from the pavement images, the image is partitioned into small windows and a beamlet transform based-algorithm is applied. The crack segments are then linked together and classified into four types, vertical, horizontal, transversal, and block types. Simulation results show the method is effective and robust in the extraction of cracks on a variety of pavement images.
Committee
Salari Ezzatollah, PhD (Advisor)
Jamali Mohsin, PhD (Committee Member)
Miller Lawrence, PhD (Committee Member)
Pages
69 p.
Subject Headings
Civil Engineering
;
Electrical Engineering
Keywords
Pavement
;
Crack
;
Beamlet
;
Image
Recommended Citations
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Citations
Ying, L. (2009).
Beamlet Transform Based Technique for Pavement Image Processing and Classification
[Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1261101841
APA Style (7th edition)
Ying, Liang.
Beamlet Transform Based Technique for Pavement Image Processing and Classification.
2009. University of Toledo, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1261101841.
MLA Style (8th edition)
Ying, Liang. "Beamlet Transform Based Technique for Pavement Image Processing and Classification." Master's thesis, University of Toledo, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1261101841
Chicago Manual of Style (17th edition)
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Document number:
toledo1261101841
Download Count:
3,129
Copyright Info
© 2009, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.