Name
Title | ||
|---|---|---|
Measuring optical distortion in aircraft transparencies: a fully automated system for quantitative evaluation |
Abstract | ||
|---|---|---|
We describe a complete system for quantitatively measuring the optical distortion in aircraft windshields and automatically classifying that distortion as acceptable or not. The system comprises two parts: The first uses digital imaging of a known grid pattern through the windshield of interest to create a distortion map of that windshield; the second uses the distortion maps created for 100 windshields (some acceptable and some not) and automatically learns a decision-tree-based classifier. We show results that highlight the robustness of this system, including a demonstration that the distortion map for a windshield is consistently measured over 3 years, and cross-validation study shows that we can effectively classify windshields based on the distortion maps. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s00138-010-0258-z | Mach. Vis. Appl. |
Keywords | DocType | Volume |
Optical distortion,Inspection,Machine vision | Journal | 22 |
Issue | ISSN | Citations |
5 | 0932-8092 | 1 |
PageRank | References | Authors |
0.38 | 1 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Dixon | 1 | 24 | 3.41 |
| Robert Glaubius | 2 | 32 | 4.00 |
| Philip Freeman | 3 | 1 | 0.38 |
| Robert Pless | 4 | 2090 | 144.45 |
| Michael P. Gleason | 5 | 1 | 0.38 |
| Matthew M. Thomas | 6 | 1 | 0.38 |
| William D. Smart | 7 | 98 | 11.57 |