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Image reduction operators as aggregation functions: Fuzzy transform and undersampling

Paternain,D, Jurio,A, Mesiar,R, Beliakov,G and Bustince,H 2013, Image reduction operators as aggregation functions: Fuzzy transform and undersampling, Advances in Soft Computing, vol. 228, pp. 405-414, doi: 10.1007/978-3-642-39165-1_39.

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Title Image reduction operators as aggregation functions: Fuzzy transform and undersampling
Author(s) Paternain,D
Jurio,A
Mesiar,R
Beliakov,GORCID iD for Beliakov,G orcid.org/0000-0002-9841-5292
Bustince,H
Journal name Advances in Soft Computing
Volume number 228
Start page 405
End page 414
Publisher Springer Verlag
Publication date 2013-11-01
ISSN 1615-3871
1860-0794
Summary After studying several reduction algorithms that can be found in the literature, we notice that there is not an axiomatic definition of this concept. In this work we propose the definition of weak reduction operators and we propose the properties of the original image that reduced images must keep. From this definition, we study whether two methods of image reduction, undersampling and fuzzy transform, satisfy the conditions of weak reduction operators.
Language eng
DOI 10.1007/978-3-642-39165-1_39
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
Copyright notice ©2013, Springer Verlag
Persistent URL http://hdl.handle.net/10536/DRO/DU:30071080

Document type: Journal Article
Collection: School of Information Technology
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