Information Fusion by Extended Power-Based Aggregation in Image Segmentation
Information Fusion by Extended Power-Based Aggregation in Image Segmentation
Autori:
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: 305 )
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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} }
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
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