Glomerulus extraction by optimizing the fitting curve

Jun Zhang*, Jinglu Hu

*この研究の対応する著者

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

Glomerulus extraction is an important step for automatic analysis of the kidney diseases in the computer-aided diagnosis system. A method based on searching the best fitting curve is proposed based on the characteristics of the renal biopsy images in microscope. This method can solve the problem of the large defect of the enhanced boundary, which lead to unsuccessful extraction. Firstly, a parametric equation is constructed based on the cubic spline interpolation function to draw the closed fitting curve. Secondly, the different scale binary images can be obtained by adjusting the parameters of the LOG filter. Finally, after labeling to remove the noises and thinning, a genetic algorithm is used to search the best flitting curve for glomerulus boundary. Experimental results indicate the correctness and effectiveness of this method.

本文言語English
ホスト出版物のタイトルProceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008
出版社IEEE Computer Society
ページ169-172
ページ数4
ISBN(印刷版)9780769533117, 9780769533117
DOI
出版ステータスPublished - 2008
イベント2008 International Symposium on Computational Intelligence and Design, ISCID 2008 - Wuhan, China
継続期間: 2008 10月 172008 10月 17

出版物シリーズ

名前Proceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008
2

Conference

Conference2008 International Symposium on Computational Intelligence and Design, ISCID 2008
国/地域China
CityWuhan
Period08/10/1708/10/17

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 人工知能
  • コンピュータ ネットワークおよび通信

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