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Computing of the Fuzzy Membership Function for Karyotype Classification

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(6), pp.1-8
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Sang-hee Eum ORD ID 1 Jae-Hyun Nam 2

1동주대학교
2신라대학교

Candidate

ABSTRACT

Many researchers have been studied for the automatic chromosome karyotype classification and analysis. For the automatic classify the each chromosome which is the image in microscope, it is necessary to process the sub-procedure, ie, image pre-processing, implementing karyotype classifier. The image pre-processing proceeded the each chromosome separation, the noise exception and the feature parameter extraction. The extracted morphological feature parameter were the centromeric index(C.I.), the relative length ratio(R.L.), and the relative area ratio(R.A.). In this paper, the fuzzy classifier was implemented for the human chromosome karyotype classification. The extracted morphological feature parameter were used in the input parameter of fuzzy classifier. We studied about the selection of the membership function for the optimal fuzzy classifier in each chromosome groups.

Citation status

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