el 15(7): e3

Research Article

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

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  • @ARTICLE{10.4108/icst.iniscom.2015.258308,
        author={Chung-Yen Su and Li-An Yu and Nai-Kuei Chen and Jheng-Jyun Wang and Ying-Hao Liu and Shuen-De Wu},
        title={Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect},
        journal={EAI Endorsed Transactions on e-Learning},
        volume={2},
        number={7},
        publisher={EAI},
        journal_a={EL},
        year={2015},
        month={4},
        keywords={edge detection, sub-pixel edge detection, probe, led},
        doi={10.4108/icst.iniscom.2015.258308}
    }
    
  • Chung-Yen Su
    Li-An Yu
    Nai-Kuei Chen
    Jheng-Jyun Wang
    Ying-Hao Liu
    Shuen-De Wu
    Year: 2015
    Sub-pixel Edge Detection of LED Probes Based On Partial Area Effect
    EL
    EAI
    DOI: 10.4108/icst.iniscom.2015.258308
Chung-Yen Su1,*, Li-An Yu1, Nai-Kuei Chen1, Jheng-Jyun Wang1, Ying-Hao Liu1, Shuen-De Wu2
  • 1: Department of Electrical Engineering, National Taiwan Normal University
  • 2: Department of Mechatronicl Engineering, National Taiwan Normal University
*Contact email: scy@ntnu.edu.tw

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%.