Shape-Based Features for Cat Ganglion Retinal Cells Classification

Giosue' Lo Bosco, Cesare Fabio Valenti, Vito Di Gesu', Regina Célia Coelho, Júlia Sawaki Tanaka

Risultato della ricerca: Articlepeer review

13 Citazioni (Scopus)

Abstract

This article presents a quantitative and objective approach to cat ganglion cell characterization and classification. The combination of several biologically relevant features such as diameter, eccentricity, fractal dimension, influence histogram, influence area, convex hull area, and convex hull diameter are derived from geometrical transforms and then processed by three different clustering methods (Ward’s hierarchical scheme, K-means and genetic algorithm), whose results are then combined by a voting strategy. These experiments indicate the superiority of some features and also suggest some possible biological implications.
Lingua originaleEnglish
pagine (da-a)213-226
Numero di pagine14
RivistaReal-Time Imaging
Volume8
Stato di pubblicazionePublished - 2002

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Entra nei temi di ricerca di 'Shape-Based Features for Cat Ganglion Retinal Cells Classification'. Insieme formano una fingerprint unica.

Cita questo