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
CountryJapan
CityYokohama
Period09/5/2009/5/22

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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