Application of fuzzy quantifiers in image processing: a case study

Author

Glöckner, Ingo ; Knoll, Alois

Author_Institution

Fac. of Technol., Bielefeld Univ., Germany

fYear

1999

fDate

36495

Firstpage

259

Lastpage

262

Abstract

Fuzzy quantifiers, i.e. operators intended to provide a numerical interpretation of natural language (NL) quantifiers like `almost all´, are valuable tools for image processing, in particular to express accumulative (second order) properties of fuzzy image regions. However approaches to fuzzy quantification will unfold their full potential only if the proposed operators capture the meaning of NL quantifiers. We present an exemplary evaluation of one of the most prominent approaches to fuzzy quantification (R.R. Yager´s (1988) OWA approach), with respect to its suitability to model NL quantification over fuzzy image regions

Keywords

fuzzy set theory; image processing; natural languages; NL quantifiers; OWA approach; case study; exemplary evaluation; fuzzy image regions; fuzzy quantification; fuzzy quantifiers; image processing; natural language quantifiers; numerical interpretation; second order properties; Application software; Computer aided software engineering; Computer science; Fuzzy set theory; Fuzzy systems; Image processing; Image retrieval; Natural languages; Open wireless architecture; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference

Conference_Location

Adelaide, SA

Print_ISBN

0-7803-5578-4

Type

conf

DOI

10.1109/KES.1999.820172

Filename

820172