文档介绍：International Journal putational Cognition (.htm)
Volume 2, Number 2, Pages 35–69, June 2004
Publisher Item Identifier S 1542-5908(04)10203-0/$
Article electronically published on April 12, 2003 at . Please cite
this paper as: hRonei Marcos de Moraes, “An Analysis of the Fuzzy Expert Systems Architecture for
Multispectral Image Classification Using Mathematical Morphology Operators(Invited Paper)”, Inter-
national Journal putational Cognition (.htm), Volume 2, Number
2, Pages 35–69, June 2004i.
AN ANALYSIS OF THE FUZZY EXPERT SYSTEMS
ARCHITECTURE FOR MULTISPECTRAL IMAGE
CLASSIFICATION USING MATHEMATICAL
MORPHOLOGY OPERATORS(INVITED PAPER)
RONEI MARCOS DE MORAES
Abstract. A fuzzy expert-system architecture for image classifica-
tion was proposed by Moraes, Banon and Sandri (1998, 2000, 2002),
whose rules are implemented through translation invariant mathemat-
ical morphology operators. In this paper, we analyze this architecture
by an expert system that classifies an area of the Tapaj´osNational
Forest, in Brazil. pare this classifier with others classical clas-
sifiers and analyze also its performance in other areas with the same
rules. We conclude that the expert systems for image classification
are more accurate that others classical classifiers. However, the ex-
pert systems are very dependent of the knowledge of an expert and
they are not adaptive for classification of others areas. °c 2003 Yang’s
Scientific Research Institute, LLC. All rights reserved.
1. Introduction
The use of mathematical morphology has produced many applications in
several areas of digital image processing, and also in what regards pattern
recognition in binary images [32]. Work on the classification of gray-level
images using mathematical morphology is still in its early stages. Some
results can be found on shape and texture classification using granulometry
[1, 10, 11]. Moraes [22] proposed a classifier based on an intersection of an
eleme