Glomerulus extraction by using genetic algorithm for edge patching

Jiaxin Ma; Jun Zhang; Jinglu Hu

doi:10.1109/CEC.2009.4983251

Glomerulus extraction by using genetic algorithm for edge patching

Jiaxin Ma^*, Jun Zhang, Jinglu Hu

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

16 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 language	English
Title of host publication	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Pages	2474-2479
Number of pages	6
DOIs	https://doi.org/10.1109/CEC.2009.4983251
Publication status	Published - 2009
Event	2009 IEEE Congress on Evolutionary Computation, CEC 2009 - Trondheim, Norway Duration: 2009 May 18 → 2009 May 21

Publication series

Name	2009 IEEE Congress on Evolutionary Computation, CEC 2009

Conference

Conference	2009 IEEE Congress on Evolutionary Computation, CEC 2009
Country/Territory	Norway
City	Trondheim
Period	09/5/18 → 09/5/21

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Theoretical Computer Science

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10.1109/CEC.2009.4983251

Cite this

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title = "Glomerulus extraction by using genetic algorithm for edge patching",

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.",

author = "Jiaxin Ma and Jun Zhang and Jinglu Hu",

year = "2009",

doi = "10.1109/CEC.2009.4983251",

language = "English",

isbn = "9781424429592",

series = "2009 IEEE Congress on Evolutionary Computation, CEC 2009",

pages = "2474--2479",

booktitle = "2009 IEEE Congress on Evolutionary Computation, CEC 2009",

note = "2009 IEEE Congress on Evolutionary Computation, CEC 2009 ; Conference date: 18-05-2009 Through 21-05-2009",

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T1 - Glomerulus extraction by using genetic algorithm for edge patching

AU - Ma, Jiaxin

AU - Zhang, Jun

AU - Hu, Jinglu

PY - 2009

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N2 - 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.

AB - 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.

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DO - 10.1109/CEC.2009.4983251

M3 - Conference contribution

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SN - 9781424429592

T3 - 2009 IEEE Congress on Evolutionary Computation, CEC 2009

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BT - 2009 IEEE Congress on Evolutionary Computation, CEC 2009

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ER -

Glomerulus extraction by using genetic algorithm for edge patching

Abstract

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