A two-level method for segmenting cytological images based on active contour model

  • Authors:
  • D. M. Murashov

  • Affiliations:
  • Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia 119991

  • Venue:
  • Pattern Recognition and Image Analysis
  • Year:
  • 2008

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Abstract

The problem of automatic extraction of cell nuclei in cytological images for automated diagnostics of hematological diseases is considered. A combined two-level segmentation method based on an active contour model is presented. The method employs different strategies to form the active contour model at coarse and fine approximation steps. The capture range of the active contour is extended by employing a wave propagation model. Unsupervised initialization of the active contour involves binarization of the a component of the input image in the CIE Lab color space. The efficiency of the developed method is demonstrated by a computational experiment.