Browse > Article

Development of the Lighting System Design Code for Computer Vision  

Ahn, In-Mo (馬山大學 컴퓨터電氣工學部)
Lee, Kee-Sang (檀國大學校 電氣電子컴퓨터工學부)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers D / v.51, no.11, 2002 , pp. 514-520 More about this Journal
Abstract
n industrial computer vision systems, the image quality is dependent on the parameters such as light source, illumination method, optics, and surface properties. Most of them are related with the lighting system, which is designed in heuristic based on the designer's experimental knowledge. In this paper, a design code by which the optimal lighting method and light source for computer vision systems can be found are suggested based on experimental results. The design coed is applied to the design of the lighting system for the transistor marking inspection system, and the overall performance of the machine vision system with the lighting system show the effectiveness of the proposed design code.
Keywords
Computer Vision;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Amir R. Novini, 'Fundamentals of Machine Vision Lighting', Proc. SPIE, Vo1.728 Optics, Illumination, and Image Sensing for Machine Vision. pp. 84-92, 1986
2 Amir R. Novini, 'Lighting and Opics Expert System for Machine Vision', SME Lighting and Optics Technology for Machine Vision Applications, pp, 1-8, 1989
3 Ernest L. Hall, 'Structured Lighting for Automated Inspection', SME Lighting and Optics Technology for Machine Vision Applications, pp. 1-6,1989
4 Gordon T. Uber, 'Illumination Methods for Machine Vision', Proc. SPIE, Vol 728 Optics, Illumination, and Image Sensing for Machine Vision, pp, 93-102, 1986
5 이규봉, 안인모, 권창완, 'Feasibility Study on the Development of the Most Appropriate Lighting System for Machine Vision', 한국생산기술연구원 연구보고서, pp.17-19, pp. 51-72, 1993
6 H,C. Na, Y.K. Ryu and H.S. Cho, 'Design of a lighting system for PCB visual pattern inspection', J. KSME, VoL 21, No, 1, pp. 1-11, 1997
7 Norman Wittels and Stanley H. Zisk, 'Lighting Design for Industrial Machine Vision', Proc. SPIE, Vol.728 Optics, Illumination, and Image Sensing for Machine Vision, pp. 47-56, 1986