@inproceedings{0ac3b4ab47464fe69706e2e2de17b785,
title = "Sub-pixel edge detection of LED probes based on partial area effect",
abstract = "In recent years, the demands for LED are increasing. For testing the quality of LEDs, a lot of LED probes are necessary, so the high precision and efficient methods are paid more attention by industrial applications. This paper is focused on the measurement of the angle and the radius of a LED probe by computer vision. In previous paper, we proposed an effective method based on Canny edge detection and curve fitting method with iteration. In this paper we add a new sub-pixel edge detection method: partial area effect. We improve the preciseness of angle from error 2.3% to 1.43% and enhance the accuracy of radius more than 30%.",
keywords = "Edge detection, LED, Probe, Sub-pixel edge detection",
author = "Su, {Chung Yen} and Yu, {Li An} and Chen, {Nai Kuei} and Wang, {Jheng Jyun} and Liu, {Ying Hao} and Wu, {Shuen De}",
note = "Publisher Copyright: {\textcopyright} 2015 ICST.; 1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015 ; Conference date: 02-03-2015 Through 04-03-2015",
year = "2015",
month = jul,
day = "14",
doi = "10.4108/icst.iniscom.2015.258308",
language = "English",
series = "Proceedings of the 2015 1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "139--144",
booktitle = "Proceedings of the 2015 1st International Conference on Industrial Networks and Intelligent Systems, INISCom 2015",
}