DocumentCode :
315943
Title :
A fuzzy system for rose recognition
Author :
Zhenjiang, Miao ; Gandelin, M.-H.
Author_Institution :
Inst. National de la Recherche Agronomique, GIP-GEVES, Sophia Antipolis, France
Volume :
2
fYear :
1997
fDate :
1-5 Jul 1997
Firstpage :
1083
Abstract :
This paper describes a rose analysis and recognition program and presents some principles of a fuzzy system realizing this recognition program. The major principles presented in this paper are our fuzzy description methods for rose features, which explain how to mathematically and quantitatively describe rose features by the fuzzy set concept, and weight coefficient, which explains how to use different rose features rationally in the recognition scheme. Experiment results are given which demonstrate the efficiency of our methods
Keywords :
expert systems; feature extraction; fuzzy set theory; fuzzy systems; fuzzy description methods; fuzzy set concept; fuzzy system; rose features; rose recognition; weight coefficient; Acceleration; Automatic control; Fuzzy sets; Fuzzy systems; Image analysis; Image color analysis; Image recognition; Processor scheduling; Protection; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
Type :
conf
DOI :
10.1109/FUZZY.1997.622860
Filename :
622860
Link To Document :
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