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
Link To Document :
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