Vision System을 이용한 PCB 검사 매칭 알고리즘 = Matching Algorithm for PCB Inspection Using Vision System

다국어 초록 (Multilingual Abstract)

According as the patterns of PCB (Printed Circuit Board) became denser and complicated, quality and accuracy of PCB influence the performance of final product. It's attempted to obtain trust of 100% about all of parts. Because human inspection in mass-production manufacturing facilities are both time-consuming and very expensive, the automation of visual inspection has been attempted for many years. Thus, automatic visual inspection of PCB is required. In this paper, we used an algorithm which compares the reference PCB patterns and the input PCB patterns are separated an object and a scene by filtering and edge detection. And than compare two image using pattern matching algorithm. We suggest an defect inspection algorithm in PCB pattern, to be satisfied low cost, high speed, high performance and flexibility on the basis of 640×480 binary pattern.

목차 (Table of Contents)

• 1.서론
• 2.PCB 결함의 종류 및 검사방법
• 2.1 PCB 결함의 종류
• 2.2 PCB 결함의 검사 방법
• 3.영상의 전처리 기법 및 매칭 알고리즘
• 3.1 평균화 필터링(Mean Filtering)
• 3.2 윤곽선 추출(Edge Detection)
• 3.3 이진화(Thresholding)
• 4.패턴 매칭
• 4.1 결함검출 알고리즘
• 4.2 연산방법(XOR연산)
• 5.시스템 구현
• 5.1 전체 시스템 구성
• 5.2 시스템 구현 및 실험
• 6.실험 결과
• 7.결론