Information Fusion by Extended Power-Based Aggregation in Image Segmentation

Izdanje: Proceedings of The International Scientific Conference on Information Technology and Data Related Research Sinteza 2019

DOI: 10.15308/Sinteza-2019-162-167

Oblast: Advanced Computing and Cloud Computing

Stranice: 162-167

Apstrakt:
In this paper we construct two extended aggregation functions, extended pow- ers product and extended weighted arithmetic mean of powers. Their basic properties are examined, as well as certain properties of distance functions constructed by them. In addition, one pixel descriptor, which is motivated by Local Binary Pattern family of descriptors (LBPs), is introduced. We give an application of the introduced extended aggregation functions and descriptor, by a construction of a new distance function, used in Fuzzy c-Means Clustering Algorithm (FCM) for image segmentation.
Ključne reči: extended aggregation function, distance function, image segmentation, pixel descriptor, fuzzy c-Means algorithm
Priložene datoteke:
  • 162-167 ( veličina: 472,18 KB, broj pregleda: 169 )

Preuzimanje citata:

BibTeX format
@article{article,
  author  = {E. Pap, M. Delić and L. Nedović}, 
  title   = {Information Fusion by Extended Power-Based Aggregation in Image Segmentation},
  journal = {Proceedings of The International Scientific Conference on Information Technology and Data Related Research Sinteza 2019},
  year    = 2019,
  pages   = {162-167},
  doi     = {10.15308/Sinteza-2019-162-167}
}
RefWorks Tagged format
RT Conference Proceedings
A1 Endre Pap
A1 Marija Delić
A1 Ljubo Nedović
T1 Information Fusion by Extended Power-Based Aggregation in Image Segmentation
AD Univerzitet Singidunum, Beograd, Beograd, Srbija
YR 2019
NO doi: 10.15308/Sinteza-2019-162-167
Unapred formatirani prikaz citata
E. Pap, M. Delić and L. Nedović, Information Fusion by Extended Power-Based Aggregation in Image Segmentation, Univerzitet Singidunum, Beograd, 2019, doi:10.15308/Sinteza-2019-162-167