Chromosome region recognition with local band patterns

Toru Abe, Chieko Hamada, Tetsuo Kinoshita

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

Abstract

To make the visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be extracted from the subject image and classified into the distinct chromosome types. To improve the accuracy and flexibility in this process, we propose a subregion (local band pattern) based method for recognizing chromosome regions in the image. This method regards each chromosome region as a series of subregions, and iterates a search for subregions in the image consecutively. Consequently, chromosome region classification is performed simultaneously with its extraction for each subregion. Since the dimensions and intensities of chromosome regions vary with every image, effective subregion searches require templates whose dimensions and intensities correspond with those of chromosome regions in the image. To develop an effective subregion search, we also propose a method for adjusting the dimensions of templates to those of chromosome regions in the image and adapting the intensities in the image to those of the templates.

Original languageEnglish
Title of host publicationBIOSIGNALS 2009 - Proceedings of the 2nd International Conference on Bio-Inspired Systems and Signal Processing
Pages49-56
Number of pages8
Publication statusPublished - 2009 Jul 21
Event2nd International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2009 - Porto, Portugal
Duration: 2009 Jan 142009 Jan 17

Other

Other2nd International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2009
CountryPortugal
CityPorto
Period09/1/1409/1/17

Keywords

  • Chromosome image analysis
  • Local band pattern
  • Region classification
  • Region extraction
  • Subregion search

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Control and Systems Engineering

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