Recognition of scenery images considering positional relation using fuzzy inference neural networks

Atsushi Yamamura, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new system for recognition of scenery images by learning. The proposed system consists of 2 parts. One is the part which infers based on absolute position of target. The other is the part which infers based on relative position of target. Each part consists of Fuzzy Interference Neural Network (FINN) [6] which can extract fuzzy if-then rules automatically. So the system can extract knowledge about absolute position and relative position. Through computer experiments, it can be seen that the proposed system can recognize the image much correctly.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Pages1205-1210
Number of pages6
Volume2
Publication statusPublished - 2001
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: 2001 Oct 72001 Oct 10

Other

Other2001 IEEE International Conference on Systems, Man and Cybernetics
CountryUnited States
CityTucson, AZ
Period01/10/701/10/10

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Keywords

  • Fuzzy
  • Image recognition
  • Neural network
  • Rule extraction

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Yamamura, A., & Hagiwara, M. (2001). Recognition of scenery images considering positional relation using fuzzy inference neural networks. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 2, pp. 1205-1210)