Chromosome image recognition with local band patterns

Toru Abe, Chieko Hamada, Tetsuo Kinoshita

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

1 Citation (Scopus)

Abstract

To make a visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be determined in the subject image and classified into the distinct chromosome types. We propose a subregion based method to improve this process. The proposed method regards each chromosome region as a series of subregions (local band patterns), and iterates a search for subregions in the image consecutively.

Original languageEnglish
Title of host publicationProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009
Pages308-311
Number of pages4
Publication statusPublished - 2009 Dec 1
Event11th IAPR Conference on Machine Vision Applications, MVA 2009 - Yokohama, Japan
Duration: 2009 May 202009 May 22

Publication series

NameProceedings of the 11th IAPR Conference on Machine Vision Applications, MVA 2009

Other

Other11th IAPR Conference on Machine Vision Applications, MVA 2009
Country/TerritoryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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