Glomerulus extraction by using genetic algorithm for edge patching

Jiaxin Ma, Jun Zhang, Jinglu Hu

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

11 Citations (Scopus)

Abstract

Abstract-Glomerulus is the filtering unit of the kidney. In the computer aided diagnosis system designed for kidney disease, glomerulus extraction is an important step for analyzing kidney-tissue image. Against the disadvantages of traditional methods, this paper proposes a glomerulus extraction method using genetic algorithm for edge patching.Firstly, Canny edge detector is applied to get discontinuous edges of glomerulus. After labeling to remove the noises,genetic algorithm is used to search for optimal patching segments to join those edges together. Lastly, the edges and the patching segments with high fitness would be able to form the whole edge of the glomerulus. Experiments and comparisons indicate the proposed method can extract the glomerulus fromkidney-tissue image both fast and accurately.

Original languageEnglish
Title of host publication2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages2474-2479
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 25
Event2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway
Duration: 2009 May 182009 May 21

Publication series

Name2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference2009 IEEE Congress on Evolutionary Computation, CEC 2009
CountryNorway
CityTrondheim
Period09/5/1809/5/21

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • Cite this

    Ma, J., Zhang, J., & Hu, J. (2009). Glomerulus extraction by using genetic algorithm for edge patching. In 2009 IEEE Congress on Evolutionary Computation, CEC 2009 (pp. 2474-2479). [4983251] (2009 IEEE Congress on Evolutionary Computation, CEC 2009). https://doi.org/10.1109/CEC.2009.4983251