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

作　　者：Lingjie Yu Guanlin Wang Chao Zhi Bugao Xu 

机构地区：[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.

出　　处：《Computer Modeling in Engineering & Sciences》2019年第5期365-372,共8页工程与科学中的计算机建模（英文）

摘　　要：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.

关 键 词：3D RECONSTRUCTION SHARPNESS EVALUATION FIBER WEB 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]