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Soft ComputingVolume 22, Issue 14, 1 July 2018, Pages 4723-4739

Aggregated distance functions and their application in image processing(Article)

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  • aDepartment of Fundamentals Sciences, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia
  • bHigher Education Institution for Applied Studies, Novi Sad Business School, Vladimira Perića-Valtera 4, 21000, Novi Sad, Serbia

Abstract

In this paper, we propose a new method for construction of distance functions and metrics, by applying aggregation operators on some given distance functions and metrics. For some types and examples of aggregation operators, we analyze which properties of the given distance functions and metrics are preserved by such construction. We also present one possible application of the distance functions constructed in such way in image segmentation by fuzzy c-means algorithm. Other similar applications in image processing are also possible. © 2017, Springer-Verlag Berlin Heidelberg.

Author keywords

Aggregation operatorDistance functionFuzzy c-means algorithmImage clusteringMetric

Indexed keywords

Engineering controlled terms:CopyingFuzzy clusteringFuzzy systemsImage segmentationMathematical operators
Engineering uncontrolled termsAggregation operatorDistance functionsFuzzy C-means algorithmsImage clusteringMetric
Engineering main heading:Clustering algorithms

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja34014,174009,TR 34014,TR 174009MPNTR
Ministarstvo Prosvete, Nauke i Tehnološkog RazvojaMPNTR

  • 1

    Acknowledgements First and second authors acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia, in the frame of Project applied under No. TR 34014. Second author acknowledge the financial support of the Ministry of Education, Science and Technological Development of the Republic of Serbia, in the frame of Project applied under No. TR 174009.

  • ISSN: 14327643
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1007/s00500-017-2657-9
  • Document Type: Article
  • Publisher: Springer Verlag

  Nedović, L.; Department of Fundamentals Sciences, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000, Novi Sad, Serbia;
© Copyright 2018 Elsevier B.V., All rights reserved.

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