Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Skewed alpha-stable distributions for modelling textures

Academic Article
Publication Date:
2003
abstract:
In this letter, we introduce a novel family of texture models which provide alternatives to texture models which are based on Gaussian distributions. In particular, we introduce linear textures generated with a member of the alpha-stable distribution family which is a generalisation of the Gaussian distribution. The new family of texture models is capable of representing both impulsive and unsymmetric (skewed) image data which cannot be accommodated by the Gaussian model. We present new techniques for texture model estimation and we demonstrate the success of the techniques on synthetic data.
Iris type:
01.01 Articolo in rivista
Keywords:
Non-Gaussian textures; Alpha-stable distribution; Skewed distribution; Impulsive distribution
List of contributors:
Kuruoglu, ERCAN ENGIN
Authors of the University:
KURUOGLU ERCAN ENGIN
Handle:
https://iris.cnr.it/handle/20.500.14243/36561
Published in:
PATTERN RECOGNITION LETTERS
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)