| contributor author | Po-Han Chen | |
| contributor author | Ya-Ching Yang | |
| contributor author | Luh-Maan Chang | |
| date accessioned | 2017-05-08T21:40:17Z | |
| date available | 2017-05-08T21:40:17Z | |
| date copyright | September 2010 | |
| date issued | 2010 | |
| identifier other | %28asce%29cp%2E1943-5487%2E0000048.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/59006 | |
| description abstract | In the late 1990s, image processing was first applied to steel bridge coating assessment in the United States. Yet, there has not been any robust method that could solve nonuniform illumination problems to date. In this regard, this paper aims to develop an approach that handles nonuniform illumination in rust image recognition. The proposed approach also contributes to rust intensity recognition and process automation. This paper adopts the | |
| publisher | American Society of Civil Engineers | |
| title | Box-and-Ellipse-Based ANFIS for Bridge Coating Assessment | |
| type | Journal Paper | |
| journal volume | 24 | |
| journal issue | 5 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/(ASCE)CP.1943-5487.0000041 | |
| tree | Journal of Computing in Civil Engineering:;2010:;Volume ( 024 ):;issue: 005 | |
| contenttype | Fulltext | |