Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect

Journal Title: EAI Endorsed Transactions on e-Learning - Year 2015, Vol 2, Issue 7

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%.

Authors and Affiliations

Chung-Yen Su, Li-An Yu, Nai-Kuei Chen, Jheng-Jyun Wang, Ying-Hao Liu, Shuen-De Wu

Keywords

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  • EP ID EP45949
  • DOI http://dx.doi.org/10.4108/icst.iniscom.2015.258308
  • Views 258
  • Downloads 0

How To Cite

Chung-Yen Su, Li-An Yu, Nai-Kuei Chen, Jheng-Jyun Wang, Ying-Hao Liu, Shuen-De Wu (2015). Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect. EAI Endorsed Transactions on e-Learning, 2(7), -. https://europub.co.uk/articles/-A-45949