Open Access

ARTICLE

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

by Lingjie Yu¹, Guanlin Wang¹, Chao Zhi¹, Bugao Xu¹

1 School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an, 710048, China.
2 Department of Merchandising and Digital Retailing, University of North Texas, Denton TX 76201, USA.

* Corresponding Author: Bugao Xu. Email: .

(This article belongs to the Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)

Computer Modeling in Engineering & Sciences 2019, 119(2), 365-372. https://doi.org/10.32604/cmes.2019.04494

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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