DocumentCode :
3763528
Title :
Edge reconstruction of LED probes using various segmentation and the averaging of sub-pixels
Author :
Ying-Hao Liu;Chung-Yen Su;Li-An Yu;Nai-Kuei Chen
Author_Institution :
Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan
fYear :
2015
Firstpage :
5
Lastpage :
8
Abstract :
LED probes are essential for testing the quality of LEDs, gaining its attention among industrial applications. Disturbance factors such as dust or noise affections may occur during the manufacturing process of the LED probes, which leads angle error to increase. With the increasing demand for LED probes, higher precision and efficiency are expected by users. Efficient method for edge detection and the preciseness of angle is crucial in our study. The previous study presents a method using Scharr Edge Detection and Adaptive Reconstruction. In this paper, we add a new method based on various segmentation and the averaging of sub-pixels(VSAS). Experimental result indicates that this method provides higher precision, with and an average error less than 1 % compared to the other previous methods.
Keywords :
"Image edge detection","Probes","Light emitting diodes","Standards","Curve fitting","Image reconstruction","Image segmentation"
Publisher :
ieee
Conference_Titel :
Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICIIBMS.2015.7439459
Filename :
7439459
Link To Document :
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