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Automatic C. Elgance recognition based on symmetric similarity in bio-micromanipulation

  • Rong Zhang*
  • , Shichuan Tang
  • , Jingkun Zhao
  • , Shujing Zhang
  • , Xu Chen
  • , Bin Zhang
  • *Corresponding author for this work

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

Abstract

A new image recognition algorithm for a small creature-Caenorhabditis elgance is developed in this paper. This methods first use edge detection, binarization and other methods to get the body contours of C.elgance. Then using its body symmetry, C.elgance is recognized by comparing similarity of consecutive lines in image. The experimental result shows the high positioning accuracy and rapidity of the proposed algorithm. This method can also be applied to other object recognition from the biological image of creatures with symmetric body.

Original languageEnglish
Title of host publicationKnowledge Engineering and Management
Subtitle of host publicationProceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)
EditorsYinglin Wang, Tianrui Li
Pages185-194
Number of pages10
DOIs
StatePublished - 2011

Publication series

NameAdvances in Intelligent and Soft Computing
Volume123
ISSN (Print)1867-5662

Keywords

  • correlation
  • image
  • recognition
  • symmetry
  • visual

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