효율적 임계치 결정 방법을 이용한 영상결함 자동검출기의 구현
The Implementation of Automatic Image Defect Detector using Efficient Threshold Selection Method
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초록
A image defect detecting vision system for the automatic optical inspection of wafer has beendeveloped. For the successful detection of various kinds of defects, the performance of two thresholdselection methods are compared and the improved Otsu method is adopted so that it can handle bothunimodal and bimodal distributions of the histogram equally well. An automatic defect detection softwarefor practical use was developed with the function of detection of ROI, fast thresholding and areasegmentation. Finally each defect pattern in the wafer is classified and grouped into one of user-defineddefect categories and more than 14 test wafer samples are tested for the evaluation of detection andclassification accuracy in the inspection system.
Abstract
A image defect detecting vision system for the automatic optical inspection of wafer has beendeveloped. For the successful detection of various kinds of defects, the performance of two thresholdselection methods are compared and the improved Otsu method is adopted so that it can handle bothunimodal and bimodal distributions of the histogram equally well. An automatic defect detection softwarefor practical use was developed with the function of detection of ROI, fast thresholding and areasegmentation. Finally each defect pattern in the wafer is classified and grouped into one of user-defineddefect categories and more than 14 test wafer samples are tested for the evaluation of detection andclassification accuracy in the inspection system.
참고문헌 (9)
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- 김상훈, "모바일 임베디드 기반의 물체검출 영상처리", 한국컴퓨터게임학회논문지, 26(1), pp.115~121 (2013), (사)한국컴퓨터게임학회
- 김상훈, "Intelligent Embedded robot for Warehouse Inspection", 한국컴퓨터게임학회논문지, 26(1), pp.131~135 (2013), (사)한국컴퓨터게임학회
- 양희경, "게임의 몰입도 증가를 위해 감성 모델에 기반을 둔 시각적 콘텐츠의 감성 강화 기법", 한국컴퓨터게임학회논문지, 25(2), pp.171~176 (2012), (사)한국컴퓨터게임학회[DOI]
