Textile Science and Engineering (한국섬유공학회지)

The Korean Fiber Society (한국섬유공학회)
권호 표지

Characterization of Nano-fiber Webs' Pore Structure Using a Morphological Image Processing

기하학적 영상 처리를 이용한 나노 섬유 웹의 기공 분포 측정

  • Kim Jooyong (Department of Textile Engineering, Soongsil University) ;
  • Lee Jung Hae (Department of Textile Engineering, Soongsil University) ;
  • Lim Dae Young (Center for Technical Textiles, Korea Institute of Industrial Technology) ;
  • Byun Sung Won (Center for Technical Textiles, Korea Institute of Industrial Technology)
  • 김주용 (숭실대학교 섬유공학과) ;
  • 이정해 (숭실대학교 섬유공학과) ;
  • 임대영 (한국생산기술연구원 산업용섬유센터) ;
  • 변성원 (한국생산기술연구원 산업용섬유센터)
  • Published : 2004.12.01
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Abstract

An image processing algorithm has been developed in order to anlyze the nanofiber web images from a high magnification microscope. It has been known that precise pore detection of thick webs is extremely difficult mainly due to lack of light uniformity, difficulty of fine focusing and translucency of nanofiber web. The serial morphological image processing techniques of edge detection, dilation, opening, skeletonization and dilation have been applied to images for accurate pore detection followed by connect-component labeling for computing mean pore size and standard deviation of pore sizes. The pore detection algorithm developed has been found to show excellent performance in characterizing the porous structure, thus being a promising tool for the on-line quality control of eletrospun fiber manufacturing.

Keywords

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