서지주요정보
인쇄회로기판(PCB)의 결함 검출 및 인식 알고리즘 = A neural network-based visual classification method for PCB defect inspection
서명 / 저자 인쇄회로기판(PCB)의 결함 검출 및 인식 알고리즘 = A neural network-based visual classification method for PCB defect inspection / 안상섭.
저자명 안상섭 ; Ahn, Sang-Seop
발행사항 [대전 : 한국과학기술원, 1994].
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소장정보

등록번호

8004919

소장위치/청구기호

학술문화관(문화관) 보존서고

MAD 94016

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초록정보

In this paper, we investigate the defect detection by making use of pre-made reference image data and classify the defects by using the artificial neural network. The approach is composed of three main parts. The first step consists of proper generation of two reference image data. For this purpose we expand and shrink the defect free image data to a certain limit respectively by using a low level morphological technique. Then, each reference data is saved for subsequent defect finding process. The second step proceeds by performing three times logical bit operations between two ready-made reference images and just captured image to be tested, which results in a defects only image. In the third step, extracting four features from each detected defect, followed by assigning them into the input nodes of already trained artificial neural network gives us corresponding defect kind. The look up table method for classification is also proposed in this paper. All of the image data are formed in a bit level for the purpose of small data size as well as time saving. Results show that suggested algorithms are available for flexible defect detection, robust classification, and high speed process due to simple logic operation.

서지기타정보

서지기타정보
청구기호 {MAD 94016
형태사항 78 p. : 삽도 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Sang-Seop Ahn
지도교수의 한글표기 : 조형석
지도교수의 영문표기 : Hyung-Suck Cho
학위논문 학위논문(석사) - 한국과학기술원 : 자동화및설계공학과,
서지주기 참고문헌 : p. 77-78
주제 Printed circuits.
Factory inspection.
Manufactures --Defects.
Computer vision.
Neural networks (Computer science)
인쇄 기판. --과학기술용어시소러스
자동 검사 시스템. --과학기술용어시소러스
결함 검사. --과학기술용어시소러스
신경 회로망. --과학기술용어시소러스
컴퓨터 비젼. --과학기술용어시소러스
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