Nuclei extraction based on multi-channel information

Jun Zhang*, Jinglu Hu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


To analyze the nuclei distributed in the glomeruli of the renal biopsy images automatically, the problem of missing or wrong extraction of them caused by the complex characteristics of the renal biopsy images must be solved. This paper introduces a dynamic thresholding method using eigenvalue feedback strategy based on multi-channel information. Firstly, the nonlinear thresholding surface adjusted by area eigenvalue feedback strategy is used to R-channel images of RGB color space and C-channel images of CMYK color space respectively to obtain the binary images. Through fusing the two images, the undetermined regions, which consist of the genuine and spurious nucleus, can be marked. And the reality degree is calculated to distinguish which one is genuine. Secondly, an area proportionality eigenvalue is considered in feedback strategy to divide the nuclei clusters into single ones. Then the nuclei extraction can be realized. The experimental results demonstrate the effectiveness of this method.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2008
Number of pages6
Publication statusPublished - 2008
EventDigital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia
Duration: 2008 Dec 12008 Dec 3

Publication series

NameProceedings - Digital Image Computing: Techniques and Applications, DICTA 2008


ConferenceDigital Image Computing: Techniques and Applications, DICTA 2008
CityCanberra, ACT

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications


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