A chromosome image recognition method based on subregions

Toru Abe, Chieko Hamada, Tetsuo Kinoshita

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


To make a visual examination of a chromosome image for various chromosome abnormalities, individual chromosome regions have to be determined in a subject image and classified into distinct chromosome types in advance.We propose a subregion based method to improve this process. The proposed method regards each chromosome region as a series of subregions and iterates a search for subregions in the subject image consecutively. In this method, chromosome region classification can be performed simultaneously with its determination for each subregion, and features in the subregions can be integrated effectively for recognizing (determining and classifying) the entire chromosome region.

Original languageEnglish
Title of host publicationComputer Vision, ACCV 2009 - 9th Asian Conference on Computer Vision, Revised Selected Papers
Number of pages10
EditionPART 3
Publication statusPublished - 2010 Dec 29
Event9th Asian Conference on Computer Vision, ACCV 2009 - Xi'an, China
Duration: 2009 Sept 232009 Sept 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume5996 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other9th Asian Conference on Computer Vision, ACCV 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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