Effective subpixel edge detection for LED probes

Chung Yen Su, Li An Yu, Nai Kuei Chen

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

The market of light-emitting devices (LED) is growing dramatically over these years. To test the quality of LEDs, lots of LED probes are required. Therefore, it is important to develop an effective method to measure the angle (around 10 degrees) and the radius (15 μm ∼ 30 μm) of a produced LED probe. In this study, we propose a new subpixel edge detection for LED probes. The proposed method mainly consists of a coarse edge detection by Canny operators and a fine edge detection by a reconstructive method. In addition, an Otsu thresholding and a reflecting-point removal are included to reduce noise and increase accuracy. Compared to the previous methods, the proposed method can further reduce angle error up to 19.5% and the radius error up to 24.8%, respectively.

原文英語
主出版物標題2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面379-382
頁數4
ISBN(電子)9781509018970
DOIs
出版狀態已發佈 - 2017 二月 6
事件2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, 匈牙利
持續時間: 2016 十月 92016 十月 12

出版系列

名字2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

其他

其他2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
國家匈牙利
城市Budapest
期間16/10/916/10/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

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  • 引用此

    Su, C. Y., Yu, L. A., & Chen, N. K. (2017). Effective subpixel edge detection for LED probes. 於 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (頁 379-382). [7844270] (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844270