Intelligent Pattern Matching Based on Geometric Features for Machine Vision Inspection

머신비전검사를 위한 기하학적 특징 기반 지능 패턴 정합

  • 문순환 (주성대학 산업시스템경영과) ;
  • 김경범 (충주대학교 항공.기계설계학과) ;
  • 김태훈 (주성대학 컴퓨터프로그래밍과)
  • Published : 2006.06.01


This paper presents an intelligent pattern matching method that can be used to acquire the reliable calibration data for automatic PCB pattern inspection. The inaccurate calibration data is often acquired by geometric pattern variations and selecting an inappropriate model manual. It makes low the confidence of inspection and also the inspection processing time has been delayed. In this paper, the geometric features of PCB patterns are utilized to calculate the accurate calibration data. An appropriate model is selected automatically based on the geometric features, and then the calibration data to be invariant to the geometric variations(translation, rotation, scaling) is calculated. The method can save the inspection time unnecessary by eliminating the need for manual model selection. As the result, it makes a fast, accurate and reliable inspection of PCB patterns.