| contributor author | Mohamed S. Kaseko | |
| contributor author | Zhen‐Ping Lo | |
| contributor author | Stephen G. Ritchie | |
| date accessioned | 2017-05-08T21:03:04Z | |
| date available | 2017-05-08T21:03:04Z | |
| date copyright | July 1994 | |
| date issued | 1994 | |
| identifier other | %28asce%290733-947x%281994%29120%3A4%28552%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/36792 | |
| description abstract | This paper presents a comparative evaluation of traditional and neural‐network classifiers to detect cracks in video images of asphalt‐concrete pavement surfaces. The traditional classifiers used are the Bayes classifier and the | |
| publisher | American Society of Civil Engineers | |
| title | Comparison of Traditional and Neural Classifiers for Pavement‐Crack Detection | |
| type | Journal Paper | |
| journal volume | 120 | |
| journal issue | 4 | |
| journal title | Journal of Transportation Engineering, Part A: Systems | |
| identifier doi | 10.1061/(ASCE)0733-947X(1994)120:4(552) | |
| tree | Journal of Transportation Engineering, Part A: Systems:;1994:;Volume ( 120 ):;issue: 004 | |
| contenttype | Fulltext | |
