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Automatic Extraction of Size for Low Contrast Defects of LCD Polarizing Film

Low Contrast 특성을 갖는 LCD 편광필름 결함의 크기 자동 검출

  • 박던천 (호서대학교 디지털디스플레이공학과) ;
  • 주효남 (호서대학교 디지털디스플레이공학과) ;
  • 류근호 (호서대학교 로봇공학과)
  • Published : 2008.05.01

Abstract

In this paper, segmenting and classifying low contrast defects on flat panel display is one of the key problems for automatic inspection system in practice. Problems become more complicated when the quality of acquired image is degraded by the illumination irregularity. Many algorithms are developed and implemented successfully for the defects segmentation. However, vision algorithms are inherently prone to be dependent on parameters to be set manually. In this paper, one morphological segmentation algorithm is chosen and a technique using frequency domain analysis of input images is developed for automatically selection the morphological parameter. An extensive statistical performance analysis is performed to compare the developed algorithms.

Keywords

References

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Cited by

  1. Classifying Scratch Defects on Billets Using Image Processing and SVM vol.19, pp.3, 2013, https://doi.org/10.5302/J.ICROS.2013.12.1849