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Automatic quantitative analysis of bipolysaccharide liposome by image processing method

  • Xiong Haitao
  • , Hu Kuanghu*
  • , Su Wanfang
  • , Li Shuyu
  • , Su Desen
  • *Corresponding author for this work
  • CAS - Institute of Biophysics
  • Shenyang University

Research output: Contribution to journalArticlepeer-review

Abstract

This paper established the extracting method and algorithm for liposome images on the basis of analyzing the form feature of liposome, and its corresponding automatic analysis software. Some algorithms, such as the logical algorithms of mathematical morphology, the grayscale-gradient co-occurrence matrix-based method and the image enhancement method of grayscale image, were used to restrain the noise effectively and increase the definition of image. The result on bipolysaccharide liposome indicates that the method increases the measuring speed and precision.

Original languageEnglish
Pages (from-to)169-175
Number of pages7
JournalBio-Medical Materials and Engineering
Volume12
Issue number2
StatePublished - 2002
Externally publishedYes

Keywords

  • Form feature extraction
  • Grayscale-gradient method and image enhancement
  • Liposome
  • Mathematical morphology

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