Particle detection of porous media using scanning electron microscope images

Mengyin Fu, Meifeng Xiao, Meiling Wang, Siyuan Cheng, Xiang Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Porous media have a wide range of applications in the field of material science and geology. The achievement of the shape parameters of a porous medium gives great significance to the reconstruction of the medium and the calculation of physical parameters such as porosity and permeability. A kind of particular porous media are focused on in the paper which are composed of randomly packed spheres made of glass. A modified Hough transform method using scanning electron microscope (SEM) images is proposed to detect the particles that compose the medium. The raw gray level image is preprocessed using a Gaussian filter. Then a modified vote mechanism is applied to transform the edge points obtained by gradient map into the accumulation array of the center locations. After a non-maximum suppression, final circle centers are picked up and their radii are estimated. The method is conducted on several SEM images, indicating the method can achieve a remarkable accuracy of ∼75%.

Original languageEnglish
Title of host publicationEighth International Conference on Digital Image Processing, ICDIP 2016
EditorsXudong Jiang, Charles M. Falco
PublisherSPIE
ISBN (Electronic)9781510605039
DOIs
Publication statusPublished - 2016
Event8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China
Duration: 20 May 201623 May 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10033
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference8th International Conference on Digital Image Processing, ICDIP 2016
Country/TerritoryChina
CityChengu
Period20/05/1623/05/16

Keywords

  • Hough transform
  • Particle detection
  • Porous media
  • SEM image

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