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자동 초점 조절 검사 시스템 설계 및 구현

Implementation of Measuring System for the Auto Focusing

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초록

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

Abstract

The accurate focusing position should be determined for accurate measurements In VMS. Camera lens focusing is an important problem in computer vision and video measuring systems (VMS) that use CCD cameras and high precision XYZ stages. Camera focusing is a very important step in high precision measurement systems that use computer vision technique. The auto focusing process consists of two steps, the focus value measurement step and the exact focusing position determination step. It is suitable for eliminating high frequency noises with lower processing time and without blurring. An automatic focusing technique is applied to measure a crater with a one-dimensional search algorithm for finding the best focus. Throughout this paper, the suggested algorithm for the Auto focusing was combined with the learning. As a result, it is expected that such a combination would be expanded into the system of recognizing voices in a noisy environment.

참고문헌 (11)

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  3. K. S. Choi, "New autofocus technique using the frequency selective weighted median filter for video cameras", IEEE Trans. on Consumer Electronics, 45(3), pp.820~827 (1999)
  4. KC Ng, "Practical Issues in Pixel-Based Autofocusing for Machine Vision", in Proceedings of the 2001 IEEE International Conference on Robotics and Automation, pp.2791~2796 (2001)
  5. 이준석, "비디오 카메라의 효과적인 자동 초점 조절 기술", 대한전자공학회 추계종합학술발표회 논문집, 22(2), pp.617~620 (1999)
  6. 이성희, "미디언 필터의차이를 이용한 비디오 카메라의 자동 초점 조절알고리즘", 한국통신학회, 23(1), pp.41~51 (1998)
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  8. K. Ooi, "An advanced autofocus system for video camera using quasi condition reasoning", IEEE Trans. on Consumer Electronics, 36(Issue 3), pp.526~530 (1990)
  9. Cihan H, Dagli, "Automatic PCB Inspection Algorithms: A Survey", COMPUTER VISION AND IMAGE UNDERSTANDING, 63(2), pp.287~313 (1996)
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