In our research, we proposed a novel invariant in 2-D image contour recognition based on Hopfield-Tank neural network. At first, we searched the feature points, the position of feature points where are included high curvature and corner on the contour. We used polygonal approximation to describe the image contour. There have two patterns we set, one is model pattern another is test pattern. The Hopfield-Tank network was employed to perform feature matching. In our results show that we can overcome the test pattern which consists of translation, rotation, scaling transformation and no matter single or occlusion pattern.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0711103-165401 |
| Date | 11 July 2003 |
| Creators | Tzeng, Chih-Hung |
| Contributors | Chen-Wen Yen, Innchyn Her, Chi-Cheng Cheng |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711103-165401 |
| Rights | withheld, Copyright information available at source archive |
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