• DocumentCode
    1647365
  • Title

    Classification of cat ganglion retinal cells and implications for shape-function relationship

  • Author

    Coelho, Regina Célia ; Valenti, Cesare ; Tanaka, Julia Sawaki ; da Fontoura Costa, L.

  • Author_Institution
    IFSC, Sao Paulo Univ., Brazil
  • fYear
    2001
  • Firstpage
    517
  • Lastpage
    522
  • Abstract
    This article presents a quantitative approach to ganglion cell classification by considering combinations of several geometrical features including fractal dimension, symmetry, diameter, eccentricity and convex hull. Special attention is given to moment and symmetry-based features. Several combinations of such features are fed to two clustering methods (Ward´s hierarchical scheme and K-Means) and the respectively obtained classifications are compared. The results indicate the superiority of some features, also suggesting possible biological implications
  • Keywords
    biology computing; computational geometry; eye; feature extraction; fractals; image classification; pattern clustering; statistical analysis; K-Means; Ward hierarchical scheme; cat ganglion retinal cells; clustering methods; convex hull; diameter; eccentricity; fractal dimension; ganglion cell classification; geometrical features; moment-based features; shape-function relationship; symmetry-based features; Animals; Cats; Clustering methods; Cybernetics; Fractals; Morphology; Neurons; Neuroscience; Retina; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 2001. Proceedings. 11th International Conference on
  • Conference_Location
    Palermo
  • Print_ISBN
    0-7695-1183-X
  • Type

    conf

  • DOI
    10.1109/ICIAP.2001.957062
  • Filename
    957062