6533b835fe1ef96bd129fda8

RESEARCH PRODUCT

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

Cesare ValentiL. Da Fontoura CostaRosário CoelhoJulia Sawaki Tanaka

subject

Convex hullContextual image classificationbusiness.industryk-means clusteringPattern recognitionComputational geometryFractal dimensionMoment (mathematics)CombinatoricsFractalArtificial intelligenceCluster analysisbusinessMathematics

description

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.

https://doi.org/10.1109/iciap.2001.957062