Segmentation of Inter-neurons in Three Dimensional Brain Imagery

  • Gervase Tuxworth
  • Adrian Meedeniya
  • Michael Blumenstein
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6474)


Segmentation of neural cells in three dimensional fluorescence microscopy images is a challenging image processing problem. In addition to being important to neurobiologists, accurate segmentation is a vital component of an automated image processing system. Due to the complexity of the data, particularly the extreme irregularity in neural cell shape, generic segmentation techniques do not perform well. This paper presents a novel segmentation technique for segmenting neural cells in three dimensional images. Accuracy rates of over 90% are reported on a data set of 100 images containing over 130 neural cells and subsequently validated using a novel data set of 64 neurons.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Gervase Tuxworth
    • 1
    • 2
  • Adrian Meedeniya
    • 2
  • Michael Blumenstein
    • 1
  1. 1.School of Information Communication and TechnologyGriffith UniversityAustralia
  2. 2.National Centre for Adult Stem Cell ResearchGriffith UniversityAustralia

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