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A Biologically-Motivated Approach to Image Representation and Its Application to Neuromorphology

  • Luciano da F. Costa
  • Andrea G. Campos
  • Leandro F. Estrozi
  • Luiz G. Rios-Filho
  • Alejandra Bosco
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1811)

Abstract

A powerful framework for the representation, characterization and analysis of two-dimensional shapes, with special attention given to neurons, is presented. This framework is based on a recently reported approach to scale space skeletonization and respective reconstructions by using label propagation and the exact distance transform. This methodology allows a series of remarkable properties, including the obtention of high quality skeletons, scale space representation of the shapes under analysis without border shifting, selection of suitable spatial scales, and the logical hierarchical decomposition of the shapes in terms of basic components. The proposed approach is illustrated with respect to neuromorphometry, including a novel and fully automated approach to automated dendrogram extraction and the characterization of the main properties of the dendritic arborization which, if necessary, can be done in terms of the branching hierarchy. The reported results fully corroborate the simplicity and potential of the proposed concepts and framework for shape characterization and analysis.

Keywords

Retinal Ganglion Cell Image Representation Original Shape Label Propagation Comparative Neurology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin-Heidelberg 2000

Authors and Affiliations

  • Luciano da F. Costa
    • 1
  • Andrea G. Campos
    • 1
  • Leandro F. Estrozi
    • 1
  • Luiz G. Rios-Filho
    • 1
  • Alejandra Bosco
    • 2
  1. 1.Cybernetic Vision Research GroupIFSC — University of São PauloSão Carlos, SPBrazil
  2. 2.Neuroscience Research InstituteUniversity of California at Santa BarbaraSanta BarbaraUSA

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