Referenced Items are not available for this document.
Describes an image analysis system using fuzzy methodology. Some landscapes, which are composed of natural things, are chosen as target images. In this system, the fuzzy adaptive resonance theory (fuzzy ART) algorithm is first used to cluster the constituent elements of the landscape images. The means and variance of the clusters are computed and then used to determine the membership functions of fuzzy sets. Based on the derived membership functions, a supervised learning algorithm is used to generate fuzzy rules automatically, and classification will then be facilitated through fuzzy max-min inference. Simulation on real pictures of scenery has shown that the proposed image analyzer is very successful because the result is visually confirmed by human observation
Published in:
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
(Volume:3
)
Date of Conference: 1999
- Page(s):
- 84 - 89 vol.3
- Meeting Date :
- 12 Oct 1999-15 Oct 1999
- ISSN :
- 1062-922X
- Print ISBN:
- 0-7803-5731-0
- INSPEC Accession Number:
- 6506075
- Conference Location :
- Tokyo
- Digital Object Identifier :
- 10.1109/ICSMC.1999.823159
- Product Type:
- Conference Publications
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