Nuclei extraction based on multi-channel information

Jun Zhang*, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - Digital Image Computing
ホスト出版物のサブタイトルTechniques and Applications, DICTA 2008
ページ59-64
ページ数6
DOI
出版ステータスPublished - 2008
イベントDigital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia
継続期間: 2008 12 12008 12 3

出版物シリーズ

名前Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008

Conference

ConferenceDigital Image Computing: Techniques and Applications, DICTA 2008
国/地域Australia
CityCanberra, ACT
Period08/12/108/12/3

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ サイエンスの応用

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