Coelho, Regina Celia [UNESP]Valenti, CesareTanaka, Julia Sawaki [UNESP]Da Fontoura Costa, Luciano2022-04-292022-04-292001-01-01Proceedings - 11th International Conference on Image Analysis and Processing, ICIAP 2001, p. 517-522.http://hdl.handle.net/11449/232185This 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. © 2001 IEEE.517-522engTrabalho apresentado em evento10.1109/ICIAP.2001.9570622-s2.0-84890483202