Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Application of fuzzy quantifiers in image processing: a case study

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Glockner, I. ; Fac. of Technol., Bielefeld Univ., Germany ; Knoll, A.

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

Published in:

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

Date of Conference:

Dec 1999