On simulating 3D fluorescent microscope images

  • Authors:
  • David Svoboda;Marek Kašík;Martin Maška;Jan Hubeny;Stanislav Stejskal;Michal Zimmermann

  • Affiliations:
  • Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic;Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic

  • Venue:
  • CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
  • Year:
  • 2007

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Abstract

In recent years many various biomedical image segmentation methods have appeared. Though typically presented to be successful the majority of them was not properly tested against ground truth images. The obvious way of testing the quality of new segmentation was based on visual inspection by a specialist in the given field. The novel 3D biomedical image data simulator is presented in this paper. It offers the results of high quality. The comparison of generated synthetic data is compared against real image data using standard similarity techniques.