DocumentCode
2787516
Title
Partial matching in fuzzy image recognition
Author
Ribeiro, Rita A. ; Baldwin, J.F.
Author_Institution
Dept. of Eng. Math., Bristol Univ., UK
fYear
1991
fDate
30 Sep-2 Oct 1991
Firstpage
215
Lastpage
222
Abstract
The problem of how to build expert systems for recognizing vague or incomplete images is addressed. The focus is on the partial match and estimation of supports, per degree of similarity, of each possible option. Two methods were used: a voting model interpretation of fuzzy sets to classify the objects, and the iterative assignment algorithm to obtain the support. To test the learning capabilities of this approach, an example of upper case letters was implemented
Keywords
computerised pattern recognition; computerised picture processing; expert systems; fuzzy set theory; learning systems; expert systems; fuzzy image recognition; fuzzy sets; iterative assignment algorithm; learning capabilities; partial matching; voting model interpretation; Expert systems; Fuzzy sets; Humans; Image recognition; Iterative methods; Mathematics; Pattern matching; Testing; US Department of Transportation; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Developing and Managing Expert System Programs, 1991., Proceedings of the IEEE/ACM International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-8186-2250-4
Type
conf
DOI
10.1109/DMESP.1991.171771
Filename
171771
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