3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images

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Description

Article presents an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images.

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8 p.

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Yu, Lingjie; Wang, Guanlin; Zhi, Chao & Xu, Bugao 2019.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Merchandising, Hospitality and Tourism to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 23 times, with 4 in the last month. More information about this article can be viewed below.

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  • Yu, Lingjie Xi’an Polytechnic University; University of North Texas
  • Wang, Guanlin Xi’an Polytechnic University
  • Zhi, Chao Xi’an Polytechnic University
  • Xu, Bugao Xi’an Polytechnic University; University of North Texas

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UNT College of Merchandising, Hospitality and Tourism

The UNT College of Merchandising, Hospitality, and Tourism educates students for the globalization of the hospitality, retail, and tourism industries. The college provides bachelor's and master's programs in a variety of majors.

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Description

Article presents an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images.

Physical Description

8 p.

Notes

Abstract: A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional (3D) network with dense microscopic open channels. The geometrical/morphological attributes, such as orientations, curvatures and compactness, of fibers in the network is the key to the filtration performance of the material. However, most of the previous studies were based on materials’ 2D micro-images, which were unable to accurately measure these important 3D features of a filter’s structure. In this paper, we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images. Firstly, a series of images of the fiber assembly were captured at different depth layers as the stage moved vertically. Then a fusion image was established by extracting fiber edges from each layered image. Thirdly, the 3D coordinates of the fiber edges were determined using the sharpness/clarity of each edge pixel in the layered images. Finally, the 3D structure the fiber system was reconstructed through distance transformation based on the locations of fiber edges

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  • Computer Modeling in Engineering & Sciences, 119(2), Tech Science Press, 2019, p. 365-372

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Publication Information

  • Publication Title: Computer Modeling in Engineering & Sciences
  • Volume: 119
  • Issue: 2
  • Page Start: 365
  • Page End: 372
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • 2019

Added to The UNT Digital Library

  • June 16, 2020, 10:27 a.m.

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  • Aug. 24, 2020, 2:14 p.m.

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Yu, Lingjie; Wang, Guanlin; Zhi, Chao & Xu, Bugao. 3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images, article, 2019; Henderson, Nevada, USA. (https://digital.library.unt.edu/ark:/67531/metadc1703674/: accessed June 14, 2021), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Merchandising, Hospitality and Tourism.

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