Glomerulus extraction by optimizing the fitting curve

Jun Zhang, Jinglu Hu

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

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008
PublisherIEEE Computer Society
Pages169-172
Number of pages4
ISBN (Print)9780769533117, 9780769533117
DOIs
Publication statusPublished - 2008
Event2008 International Symposium on Computational Intelligence and Design, ISCID 2008 - Wuhan, China
Duration: 2008 Oct 172008 Oct 17

Publication series

NameProceedings of the 2008 International Symposium on Computational Intelligence and Design, ISCID 2008
Volume2

Conference

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

ASJC Scopus subject areas

  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Networks and Communications

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