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Solid Particle Measurement by Image Analysis

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Advances in Natural Computation (ICNC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4222))

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Abstract

A good size measurement method should meet at least three criteria. These are rotational invariance, reproducibility and embody overall shape description (elongation / flakiness or angularity). According to these three criteria, this paper analyzes and evaluates several existing methods of solid particle measurement, such as Chord sizing, (multiple) Ferret diameter, equivalent circle, maximum diameter and equivalent ellipse etc. in image analysis. Based on the analyses and evaluations of the existing methods, we propose a new method – best-fit rectangle for size measurement that satisfactorily meets the criteria of rotational invariance, reproducibility and shape description.

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Post code: 610054, Chengdu, China

    Weixing Wang

  2. Department of computer science and technology, Chongqing University of Posts and telecommunications, Post code: 400065, Chongqing, China

    BingCui

Authors
  1. Weixing Wang
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  2. BingCui
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Editor information

Editors and Affiliations

  1. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  3. School of Electronic Engineering, Xidian Univ., P.O. Box, 710071, Xi’an, P.R. China

    Xinbo Gao

  4. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

  5. Multi-Agent Systems Lab,Department of Computer Science, University of Science and Technology of China, 230026, Hefei, China

    Feng Wu

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© 2006 Springer-Verlag Berlin Heidelberg

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Wang, W., BingCui (2006). Solid Particle Measurement by Image Analysis. In: Jiao, L., Wang, L., Gao, X., Liu, J., Wu, F. (eds) Advances in Natural Computation. ICNC 2006. Lecture Notes in Computer Science, vol 4222. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881223_72

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  • DOI: https://doi.org/10.1007/11881223_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45907-1

  • Online ISBN: 978-3-540-45909-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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