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Chromosome Research

, Volume 1, Issue 3, pp 189–196 | Cite as

Computer-aide automatic identification of rice chromosomes by image parameters

  • Yasuko Kamisugi
  • Noritaka Furuya
  • Kanako Iijima
  • Kiichi Fukui
Article

Abstract

An automatic, computer-aided method for identification of rice chromosomes was developed based on image parameters obtained by image analysis. Numerical data of the 360 condensation patterns (CPs) or the density profiles of rice chromosomes obtained from 30 chromosomal spreads of haploid rice were subjected to three different discrimination methods for identifying the chromosome: (1) discrimination flow chart, (2) linear discrimination functions, and (3) minimum distance classifer based on standardized Euclidean distance. Discrimination based on the minimum distance classifier resulted in the correct identification of more than 92% of the rice chromosomes. The first and second methods gave a correct identification of 91% and 84%, respectively. It is concluded that the 12 rice chromosomes in most spreads could be identified by a computer.

Key words

automatic identification condensation pattern image analysis Oryza sativa rice chromosomes 

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Copyright information

© Rapid Communications of Oxford Ltd 1993

Authors and Affiliations

  • Yasuko Kamisugi
    • 1
  • Noritaka Furuya
    • 2
  • Kanako Iijima
    • 1
  • Kiichi Fukui
    • 3
  1. 1.the Department of Molecular BiologyNational Institute of Agrobiological ResourcesTsukubaJapan
  2. 2.the Department of Environmental ManagementNational Institute of Agro-environmental SciencesTsukubaJapan
  3. 3.the Hokuriku National Agricultural Experiment StationJoetsuJapan

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