Edge reconstruction of LED probes using various segmentation and the averaging of sub-pixels

Ying Hao Liu, Chung Yen Su, Li An Yu, Nai Kuei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-8
Number of pages4
ISBN (Electronic)9781479985623
DOIs
Publication statusPublished - 2016 Mar 22
EventInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015 - Okinawa, Japan
Duration: 2015 Nov 282015 Nov 30

Publication series

NameICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences

Other

OtherInternational Conference on Intelligent Informatics and Biomedical Sciences, ICIIBMS 2015
CountryJapan
CityOkinawa
Period15/11/2815/11/30

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Keywords

  • Edge detection
  • LED
  • VSAS method
  • probe
  • sub-pixels

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Biotechnology
  • Artificial Intelligence

Cite this

Liu, Y. H., Su, C. Y., Yu, L. A., & Chen, N. K. (2016). Edge reconstruction of LED probes using various segmentation and the averaging of sub-pixels. In ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences (pp. 5-8). [7439459] (ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIIBMS.2015.7439459