Pavement crack segmentation algorithm based on local optimal threshold of cracks density distribution

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6838 LNCS, Issue , 2011, Pages 298-302

  Wang, Shengchun ^a   Tang, Wensheng ^a  

^a HUNAN NORMAL UNIVERSITY   (China)

Author keywords

Image processing; Image segmentation; Multi scale

Indexed keywords

DENSITY DISTRIBUTIONS; HUMAN EYE; LABOR INTENSIVE; LOCAL OPTIMA; LOCAL OPTIMAL; MULTISCALES; PAVEMENT CRACK DETECTION; PAVEMENT CRACKS; PAVEMENT DISTRESS; PAVEMENT DISTRESS DETECTION ALGORITHM; ROAD MAINTENANCE; SEGMENTATION ALGORITHMS;

ALGORITHMS; CRACKS; IMAGE PROCESSING; IMAGE SEGMENTATION; INTELLIGENT COMPUTING; PAVEMENTS;

CRACK DETECTION;

EID: 84863136271     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24728-6_40     Document Type: Conference Paper

References (11)

1. McGhee, K.H.: Automated Pavement Distress Collection Techniques. NCHRP: Transportation Research Board, National Research Council (2004)
2. Bugao, X., Huang, X.: Automated Pavement Cracking Rating System A Summary, http://www.utexas.edu/research/ctr/pdf-reports/7-4975-S.pdf
3. Teomete, E., Amin, V.: Digital Image Processing for Pavement Distress Analyses. In: Proc. of the 2005 Mid-Continent Transportation Research Symposium, Ames, Iowa (2005)
4. Cheng, D., Shi: Real-Time Image Thresholding Based Sample Space Reduction and Interpolation Approach. Journal of Transportation Engineering 17(4), 264-272 (2003)
5. Hutchinson, T.C., Chen, Z.: Improved Image Analysis for Evaluating Concrete Damage. Journal of civil engineering 20, 210 (2006)
6. Wang, H., Zhu, N., Wang, Q.: Fractal Features Analysis and Classification for Texture of Pavement Surfaces. Journal of Harbin Institute of Technology 37(6), 816-818 (2005)
7. Sam, O.: Effect of Neural Network topology on Flexible Pavement Cracking Prediction. Computer-Aided Civil and Infrastructure Engineering 13(5), 349-355 (1998)
8. Cheng, H.D., Chen, J., et al.: Novel Approach to Pavement Cracking Detection Based on Fuzzy Set Theory. Journal of Computing in Civil Engineering 13(4), 270-280 (1999)
9. Otsu, N.: Threshold Selection Method from Gray-Level Histograms. IEEE Transactions on Systems, Man, and Cybernetics 1(9), 62-66 (1979)
10. Siwaporn, Sorncharean, Suebskul, P.: Crack Detection on Asphalt Surface Image Using Enhanced Grid Cell Analysis. In: 4th IEEE International Symposium on Electronic Design, Test and Applications, Hong Kong, pp. 49-54 (2008)
11. Li, D., Liu, X.: A Model for Segmentation and Distress Statistic of Massive Pavement Images Based on Multi-Scale Strategies. In: ISPRS Congress, Vol. XXXVII, pp. 63-68 (2008)