References

• 1. 1)
     • 4. Rode, S.S., Vijay, S., Goyal, P., Kulkarni, P.: ‘Pothole detection and warning system: infrastructure support and system design’. Proc. IEEE Conf. Electronic Computer Technology, 2009, pp. 286–290.
  2. 2)
     • H. Ng . Automatic thresholding for defect detection. Pattern Recognit. Lett. , 1644 - 1649
  3. 3)
     • 8. Georgopoulus, A., Loizos, A., Flouda, A.: ‘Digital image processing as a tool for pavement distress evaluation’, Int. J. Photogramm. Remote Sens., 1995, 50, (1), pp. 23–33 (doi: 10.1016/0924-2716(95)91844-A).
  4. 4)
     • 11. Yu, X., Salari, E.: ‘Pavement pothole detection and severity measurement using laser imaging’. IEEE Int. Conf. Electro/Information Technology, 2011.
  5. 5)
     • 16. Aroraa, S., Acharyab, J., Vermac, A., Panigrahi, P.K.: ‘Multilevel thresholding for image segmentation through a fast statistical recursive algorithm’, Pattern Recognit. Lett., 2008, 29, (2), pp. 119–125 (doi: 10.1016/j.patrec.2007.09.005).
  6. 6)
     • 19. Duda, R.O., Hart, P.E.: ‘Pattern recognition and scene analysis’ (Wiley, New York, 1973).
  7. 7)
     • 13. Gonzalez, R.C., Woods, R.E.: ‘Digital image processing’ (Addison-Wesley Reading, MA, 2009).
  8. 8)
     • 12. Sungwoong, K., Sebastian, N., Pushmeet, K., Chang, D.Y.: ‘Task-specific image partitioning’, IEEE Trans. Image Process., 2013, 22, (2), pp. 488–500 (doi: 10.1109/TIP.2012.2218822).
  9. 9)
     • 7. Grace, A.E., Pycock, D., Tillotson, H.T., Snaith, M.S.: ‘Active shape from stereo for highway inspection’, Mach. Vis. Appl., 2000, 12, pp. 7–15 (doi: 10.1007/s001380050119).
  10. 10)
      • 9. Hong, D., Velinsky, S.A., Yamazaki, K.: ‘Tethered mobile robot for automating highway maintenance operations’, Robot. Comput.-Integr. Manuf., 1997, 13, (4), pp. 297–307 (doi: 10.1016/S0736-5845(97)00002-1).
  11. 11)
      • 5. Petersen, E.R.: ‘A highway corridor planning model: QROAD’, Transp. Res. A, Policy Pract., 2002, 36, (2), pp. 107–125 (doi: 10.1016/S0965-8564(00)00038-0).
  12. 12)
      • 4. Rode, S.S., Vijay, S., Goyal, P., Kulkarni, P.: ‘Pothole detection and warning system: infrastructure support and system design’. Proc. IEEE Conf. Electronic Computer Technology, 2009, pp. 286–290.
  13. 13)
      • 18. Ballard, D.H., Brown, C.M.: ‘Computer vision’ (Prentice-Hall Engelwood Cliffs, NJ, 1982).
  14. 14)
      • 10. Rode, S.S.: ‘Pothole detection and warning system: infrastructure support and system design’. IEEE Int. Conf. Electronic Computer Technology, 2009.
  15. 15)
      • 1. Youquan, H., Jian, W., Hanxing, Q., Wei, Z.: ‘A research of pavement potholes detection based on three-dimensional projection transformation’. Proc. IEEE Conf. Image and Signal Processing, 2011, vol. 4, pp. 1805–1808.
  16. 16)
      • 2. Guralnick, S.A., Suen, E.S., Smith, C.: ‘Automatic inspection of highway pavement surfaces’, J. Transp. Eng., 1993, 119, (1), pp. 1–12 (doi: 10.1061/(ASCE)0733-947X(1993)119:1(1)).
  17. 17)
      • 21. Ang, Y.H., Ong, S.H., Li, Z.: ‘Retrieval of artifact images using multidimensional multiresolution features’, Comput. Graph., 1996, 20, (1), pp. 51–59 (doi: 10.1016/0097-8493(95)00092-5).
  18. 18)
      • 6. Accidents due to Potholes. Available at http://www.constructionweekonline.in/article-8181-death_trap/.
  19. 19)
      • 14. Chris, S., Toby, B.: ‘Fundamentals of digital image processing: a practical approach with examples in MATLAB’ (Wiley-Blackwell, 2011).
  20. 20)
      • 3. Puan, O.C., Mustaffar, M., Ling, T.C.: ‘Automated pavement imaging program for pavement cracks classification and quantification’, Malaysian J. Civ. Eng., 2007, 9, (1), pp. 1–16.
  21. 21)
      • 17. Chang, F.J., Yen, J.C., Chang, S.: ‘A new criterion for automatic multilevel thresholding’, IEEE Trans. Image Process., 1995, 4, pp. 370–378 (doi: 10.1109/83.366472).
  22. 22)
      • 20. Rosenfield, A.: ‘Picture processing by computer’ (Academic Press, New York, 1968).