Design and analysis of fuzzy morphological algorithms for image processing

Author

Sinha, Divyendu ; Sinha, Purnendu ; Dougherty, Edward R. ; Batman, Sinan

Author_Institution

Graduate Center, City Univ. of New York, Staten Island, NY, USA

Volume

5

Issue

4

fYear

1997

fDate

11/1/1997 12:00:00 AM

Firstpage

570

Lastpage

584

Abstract

A general paradigm for lifting binary morphological algorithms to fuzzy algorithms is employed to construct fuzzy versions of classical binary morphological operations. The lifting procedure is based upon an epistemological interpretation of both image and filter fuzzification. Algorithms are designed via the paradigm for various fuzzifications and their performances are analyzed to provide insight into the kind of liftings that produce suitable results. Algorithms are discussed for three image processing tasks: shape detection, edge detection, and clutter removal. Detailed analyses are given for the effect of noise and its mitigation owing to fuzzy approaches. It is demonstrated how the fuzzy hit-or-miss transform can be used in conjunction with a decision procedure to achieve word recognition

Keywords

fuzzy set theory; image processing; mathematical morphology; binary morphological algorithms; clutter removal; decision procedure; edge detection; epistemological interpretation; filter fuzzification; fuzzy hit-or-miss transform; fuzzy morphological algorithms; image fuzzification; image processing; lifting; shape detection; word recognition; Algorithm design and analysis; Filters; Image analysis; Image edge detection; Image processing; Morphological operations; Morphology; Noise shaping; Performance analysis; Shape;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.649909

Filename

649909