A Crack Detection Method in Road Surface Images Using Morphology

نویسندگان

  • Naoki Tanaka
  • Kenji Uematsu
چکیده

In this p;y)cr , ;I new crack detection rnethod in ro;ul surface inlagc based on morphological t,echniqrlr is proposed. Cracks arc difficult, t,o dct.ect directly at t.hc pixel level because of t , l ~ noise and the vagueness. Some kind of st,r~lct.ural information is needed. A crack is t,hought, tlo be ;I siiccession of dark saddle points with t,he linear feature. In the proposed met.hod , t,he det,wt,ion of cracks is realized t,hro~lgh black pixel ext,r,wtion , saddle point det.ect.ion , linear feature extraction ;uld conile~t~ing processing . Although t.he rnct,hod requires the set,ting of sorne pdarametcrs , i t is robust for detecting vag11c cracks in t,he noisy road surface image.

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تاریخ انتشار 1998