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

Related Articles

Key Frame Extraction for Text Based Video Retrieval Using Maximally Stable Extremal Regions

This paper presents a new approach for text-based video content retrieval system. The proposed scheme consists of three main processes that are key frame extraction, text localization and keyword matching. For the key-fr...

Orchestrating a Pan-African University Alliance with the help of e-learning

Taking the salient case of an Italian Foundation that started to create a Pan-African university alliance for entrepreneurship education, we conducted a field study based on interviews and observation for a period of sev...

A Qualitative Exploration of the DIGCOMP Digital Competence Framework: Attitudes of students, academics and administrative staff in the health faculty of a UK HEI

This paper reports upon findings of a series of semi-structured interviews with students, academics and administrative staff from a health care faculty in a UK Higher Education Institution (HEI). Exploring their experien...

Fostering collective intelligence education

New educational models are necessary to update learning environments to the digitally shared communication and information. Collective intelligence is an emerging field that already has a significant impact in many areas...

Pre-service Teachers’ Perspectives on One-to-one Computing: A Mixed Method Study

This study aims at exploring pre-service teachers’ perspectives on one-to-one (1:1) computing in teaching and learning. It gathered data regarding various aspects of 1:1 computing from 145 pre-service teachers at a publi...

Download PDF file
  • EP ID EP45949
  • DOI http://dx.doi.org/10.4108/icst.iniscom.2015.258308
  • Views 269
  • 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