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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Finegan Jr., M.K. Wee, W.G. |
| Copyright Year | 1991 |
| Description | Author affiliation: Artificial Intelligence & Comput. Vision Lab., Cincinnati Univ., OH, USA (Finegan, M.K., Jr.; Wee, W.G.) |
| Abstract | Noisy and highly textured images were operated on with a Gabor-like transform. The results were evaluated to see if useful features could be extracted using spatio-temporal operators. The use of spatio-temporal operators allows for extraction of features containing simultaneous frequency and orientation information. This method allows important features, both specific and generic, to be extracted from images. The transformation was applied to industrial inspection imagery, in particular, a NASA space shuttle main engine (SSME) system for offline health monitoring. Preliminary results are given and discussed. Edge features were extracted from one of the test images. Because of the highly textured surface (event after scan line smoothing and median filtering), the Laplacian edge operator yields many spurious edges. |
| Starting Page | 347 |
| Ending Page | 350 |
| File Size | 364648 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780301730 |
| DOI | 10.1109/ICSYSE.1991.161149 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-08-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern recognition Image processing Transforms |
| Content Type | Text |
| Resource Type | Article |
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