Publ3 search

Z6_60GI02O0O8IDC0QEJUJ26TJDI4

Error:

Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.

Publikační činnost

Probíhá načítání, čekejte prosím...

Record type:	stať ve sborníku (D)
Home Department:	Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:	Fuzzy Transforms in Removing Noise
Citace	Perfilieva, I. a Valášek, R. Fuzzy Transforms in Removing Noise. In: Fuzzy Days: Computational Intelligence, Theory and Applications (Advances in Soft Computing) 2004 Dortmund. Berlin: Springer-Verlag, 2005. Springer-Verlag, 2005. s. 225-234. ISBN 3-540-22807-1.

Subtitle
Publication year:	2005
Obor:	Obecná matematika
Number of pages:	10
Page from:	225
Page to:	234
Form of publication:
ISBN code:	3-540-22807-1
ISSN code:
Proceedings title:	Computational Intelligence, Theory and Applications (Advances in Soft Computing)
Proceedings:	Mezinárodní
Publisher name:	Springer-Verlag
Place of publishing:	Berlin
Country of Publication:
Název konference:	Fuzzy Days
Conference venue:	Dortmund
Datum zahájení konference:
Typ akce podle státní příslušnosti účastníků:	Celosvětová akce
WoS code:	000235172500019
EID:

Key words in English:	F-transform; removing noise; image processing
Annotation in original language:	We have introduced the technique of direct and inverse F-transforms and investigated approximating properties of the inverse F-transform. A special interest ha been paid to the problem of removing noise which relates to nonlinear signal processing methods. We showed that the inverse F-transform can be considered as a special fuzzy identity filter which can be utilized, e.g., in image processing to preserve true image edges. In the present contribution we characterized an additive noise which can be removed by applying the inverse F-transform to an original function.
Annotation in english language:	We have introduced the technique of direct and inverse F-transforms and investigated approximating properties of the inverse F-transform. A special interest ha been paid to the problem of removing noise which relates to nonlinear signal processing methods. We showed that the inverse F-transform can be considered as a special fuzzy identity filter which can be utilized, e.g., in image processing to preserve true image edges. In the present contribution we characterized an additive noise which can be removed by applying the inverse F-transform to an original function.

References

Reference

R01:	RIV/61988987:17610/05:A10009XC

Complementary Content

${loading}