Animal fiber diameter measuring algorithm using image recognition

  • Chengwei Huang
  • , Yi Cai
  • , Qingxiang Li
  • , Lifen Bai
  • , Yanyang Zi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The fiber diameter measuring algorithm is a key part of an automatic animal fiber diameter measurement system. The algorithm described here used image processing methods with the fiber images first digitized so the edges could be detected. Then the edges were subdivided into short curved segments by identifying critical points so fiber snippets could be extracted from the images. The fiber diameters were then calculated after the fiber edges were repositioned by a subpixel positioning algorithm. The measuring process is fast and simple; the result is reliable and accurate and the measuring precision can reach ± 0.135 μm.

Original languageEnglish
Pages (from-to)1477-1479+1483
JournalQinghua Daxue Xuebao/Journal of Tsinghua University
Volume42
Issue number11
StatePublished - Nov 2002
Externally publishedYes

Keywords

  • Animal fiber
  • Diameter measuring
  • Image analysis
  • Image recognition

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