碩士 / 國立中興大學 / 機械工程學系所 / 107 / In this thesis, two machine learning methods has been discussed. The logistic regression and the artificial neural network are utilized for finding the transition and global zones of a quasi-one-frame phase unwrapping method proposed by M.J. Huang in 2002. Through the successful classification of the global and transition zones of the present study, the previously-proposed quasi-one-frame method becomes more efficient and behaves more robust.
| Identifer | oai:union.ndltd.org:TW/107NCHU5311003 |
| Date | January 2019 |
| Creators | Sheng-Cheng Cheng, 鄭聲政 |
| Contributors | 黃敏睿 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 84 |
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