Road Distress Analysis using 2D and 3D Information

iii Acknowledgements v Table of

[1]  Kelvin C P Wang,et al.  Automated Real-Time Pavement Crack Detection and Classification , 2007 .

[2]  Noël Richard,et al.  Description of simple method in 3D reconstruction in medical imaging , 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.

[3]  I. Daubechies,et al.  Biorthogonal bases of compactly supported wavelets , 1992 .

[4]  E. Salari,et al.  Pavement distress detection and classification using feature mapping , 2010, 2010 IEEE International Conference on Electro/Information Technology.

[5]  William T. Freeman,et al.  Presented at: 2nd Annual IEEE International Conference on Image , 1995 .

[6]  Nicholas Ayache,et al.  Trinocular Stereo Vision for Robotics , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Paulo Lobato Correia,et al.  Identifying and retrieving distress images from road pavement surveys , 2008, 2008 15th IEEE International Conference on Image Processing.

[8]  Yoshihiko Hamamoto,et al.  A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfaces , 2009, IEA/AIE.

[9]  Carl T. Haas,et al.  COMPUTER-BASED MODEL OF PAVEMENT SURFACES , 1990 .

[10]  Azriel Rosenfeld,et al.  Computer Vision , 1988, Adv. Comput..

[11]  Long Quan,et al.  3D Reconstruction from Scanning Electron Microscopy Using Stereovision and Self-Calibration , 2001 .

[12]  Makoto Nagao,et al.  Automatic Pavement-Distress-Survey System , 1990 .

[13]  R. Y. Tsai,et al.  An Efficient and Accurate Camera Calibration Technique for 3D Machine Vision , 1986, CVPR 1986.

[14]  Alain Trémeau,et al.  A region growing and merging algorithm to color segmentation , 1997, Pattern Recognit..

[15]  Aleksandra Mojsilovic,et al.  Adaptive image segmentation based on color and texture , 2002, Proceedings. International Conference on Image Processing.

[16]  Byoung Jik Lee,et al.  Position‐Invariant Neural Network for Digital Pavement Crack Analysis , 2004 .

[17]  Kelvin C. P. Wang.  Designs and Implementations of Automated Systems for Pavement Surface Distress Survey , 2000 .

[18]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[19]  Christian Smith,et al.  Automating Inspection of Highway Pavement Surfaces , 1993 .

[20]  J. J. Aguilar,et al.  Development of a stereo vision system for non-contact railway concrete sleepers measurement based in holographic optical elements , 2005 .

[21]  E. Salari,et al.  Automated pavement distress inspection based on 2D and 3D information , 2011, 2011 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY.

[22]  Ezzatollah Salari,et al.  Pavement distress detection and severity analysis , 2011, Electronic Imaging.

[23]  Frank Nielsen,et al.  Statistical region merging , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[24]  Roger S Walker,et al.  NONCONTACT PAVEMENT CRACK DETECTION SYSTEM , 1991 .

[25]  Max Monti,et al.  Large-area laser scanner with holographic detector optics for real-time recognition of cracks in road surfaces , 1995 .

[26]  Heng-Da Cheng,et al.  Novel Approach to Pavement Cracking Detection Based on Neural Network , 2001 .

[27]  Kelvin C P Wang,et al.  Automated Pavement Distress Survey: A Review and A New Direction , 2002 .