Title :
Sub-pixel edge detection of LED probes based on partial area effect
Author :
Chung-Yen Su ; Yu Li-An ; Nai-Kuei Chen ; Jheng-Jyun Wang ; Ying-Hao Liu ; Shuen-De Wu
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Normal Univ., Taipei, Taiwan
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 :
angular measurement; computer vision; diameter measurement; edge detection; light emitting diodes; LED probes; LED quality testing; angle measurement; computer vision; partial area effect; radius measurement; subpixel edge detection; Accuracy; Image edge detection; Light emitting diodes; Noise; Probes; Testing; Edge detection; LED; Probe; Sub-pixel edge detection;
Conference_Titel :
Industrial Networks and Intelligent Systems (INISCom), 2015 1st International Conference on
Conference_Location :
Tokyo
DOI :
10.4108/icst.iniscom.2015.258308