6533b835fe1ef96bd129fda8
RESEARCH PRODUCT
Classification of cat ganglion retinal cells and implications for shape-function relationship
Cesare ValentiL. Da Fontoura CostaRosário CoelhoJulia Sawaki Tanakasubject
Convex hullContextual image classificationbusiness.industryk-means clusteringPattern recognitionComputational geometryFractal dimensionMoment (mathematics)CombinatoricsFractalArtificial intelligenceCluster analysisbusinessMathematicsdescription
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.
year | journal | country | edition | language |
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2002-11-13 | Proceedings 11th International Conference on Image Analysis and Processing |