• Title/Summary/Keyword: 템플리트 데이타베이스

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A Film-Defect Inspection System Using Image Segmentation and Template Matching Techniques (영상 세그멘테이션 및 템플리트 매칭 기술을 응용한 필름 결함 검출 시스템)

  • Yoon, Young-Geun;Lee, Seok-Lyong;Park, Ho-Hyun;Chung, Chin-Wan;Kim, Sang-Hee
    • Journal of KIISE:Databases
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    • v.34 no.2
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    • pp.99-108
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    • 2007
  • In this paper, we design and implement the Film Defect Inspection System (FDIS) that detects film defects and determines their types which can be used for producing polarized films of TFT-LCD. The proposed system is designed to detect film defects from polarized film images using image segmentation techniques and to determine defect types through the image analysis of detected defects. To determine defect types, we extract features such as shape and texture of defects, and compare those features with corresponding features of referential images stored in a template database. Experimental results using FDIS show that the proposed system detects all defects of test images effectively (Precision 1.0, Recall 1.0) and efficiently (within 0.64 second in average), and achieves the considerably high correctness in determining defect types (Precision 0.96 and Recall 0.95 in average). In addition, our system shows the high robustness for rotated transformation of images, achieving Precision 0.95 and Recall 0.89 in average.