Library Subscription: Guest
Begell Digital Portal Begell Digital Library eBooks Journals References & Proceedings Research Collections
Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN Print: 0040-2508
ISSN Online: 1943-6009

Volumes:
Volume 77, 2018 Volume 76, 2017 Volume 75, 2016 Volume 74, 2015 Volume 73, 2014 Volume 72, 2013 Volume 71, 2012 Volume 70, 2011 Volume 69, 2010 Volume 68, 2009 Volume 67, 2008 Volume 66, 2007 Volume 65, 2006 Volume 64, 2005 Volume 63, 2005 Volume 62, 2004 Volume 61, 2004 Volume 60, 2003 Volume 59, 2003 Volume 58, 2002 Volume 57, 2002 Volume 56, 2001 Volume 55, 2001 Volume 54, 2000 Volume 53, 1999 Volume 52, 1998 Volume 51, 1997

Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v64.i7.30
pages 531-536

Image Approximation from Scattered Pixel Evidence: A Fuzzy Approach

Raul E. Sanchez-Yanez
Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, Salamanca, Guanajuato, 36730 MEXICO
Horacio Rostro-Gonzalez
Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, Salamanca, Guanajuato, 36730 MEXICO
Victor Ayala-Ramirez
Universidad de Guanajuato FIMEE, Tampico 912, Colonia Bellavista, Salamanca, Guanajuato, 36730 MEXICO

ABSTRACT

A fuzzy approach for image approximation is discussed. The image is considered as a two input-single output Mamdani-type fuzzy model. The pixel position is the input while the output is the pixel intensity. This fuzzy model is completely obtained from scattered pixel evidence. Such approach can be used for function approximation tasks or as a model identifier from scattered numerical evidence.