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Preprocessing Algorithm of Cell Image Based on Inter-Channel Correlation for Automated Cell Segmentation

자동 세포 분할을 위한 채널 간 상관성 기반 세포 영상의 전처리 알고리즘

  • 송인환 (한밭대학교 정보통신전문대학원) ;
  • 한찬희 (한밭대학교 정보통신전문대학원) ;
  • 이시웅 (한밭대학교 정보통신전문대학원)
  • Received : 2011.01.24
  • Accepted : 2011.03.21
  • Published : 2011.05.28

Abstract

The automated segmentation technique of cell region in Bio Images helps biologists understand complex functions of cells. It is mightly important in that it can process the analysis of cells automatically which has been done manually before. The conventional methods for segmentation of cell and nuclei from multi-channel images consist of two steps. In the first step nuclei are extracted from DNA channel, and used as initial contour for the second step. In the second step cytoplasm are segmented from Actin channel by using Active Contour model based on intensity. However, conventional studies have some limitation that they let the cell segmentation performance fall by not considering inhomogeneous intensity problem in cell images. Therefore, the paper consider correlation between DNA and Actin channel, and then proposes the preprocessing algorithm by which the brightness of cell inside in Actin channel can be compensated homogeneously by using DNA channel information. Experiment result show that the proposed preprocessing method improves the cell segmentation performance compared to the conventional method.

Keywords

Inter-Channel Correlation;Nuclei and Cell Detection;Active Contour Model based on Intensity

Acknowledgement

Supported by : 한국연구재단

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