Abstract
This paper presents a new depth information based image restoration method (DIBIRM) for rotors. The restoration method applies 3D sensor to obtain amplitude and depth image for a rotor. The overexposed areas can be detected by using depth data, and the mean value of amplitude images can be used to repair overexposed pixels. Experimental results showed that our proposed mothed improved effectiveness and robustness to rotor image restoration in online, real-time manufacturing automation system.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665433280 |
| DOIs | |
| State | Published - 2021 |
| Event | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 - Penghu, Taiwan Duration: 15 Sep 2021 → 17 Sep 2021 |
Publication series
| Name | 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
|---|
Conference
| Conference | 8th IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021 |
|---|---|
| Country/Territory | Taiwan |
| City | Penghu |
| Period | 15/09/21 → 17/09/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- 3D sensor
- image restoration
- manufacturing automation
- rotor
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