Pregled bibliografske jedinice broj: 896848
Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches
Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches // Croatian operational research review, 5 (2014), 2; 378-385 (međunarodna recenzija, članak, znanstveni)
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Naslov
Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches
Autori
Taler, Petar ; Sabo, Kristian
Izvornik
Croatian operational research review (1848-0225) 5
(2014), 2;
378-385
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
data clustering, color image segmentation, least square, least absolute deviation
Sažetak
Motivated by the method for color image segmentation based on intensity and hue clustering proposed in [26] we give some theoretical explanations for this method that directly follows from the natural connection between the maximum likelihood approach and Least Squares or Least Absolute Deviations clustering optimality criteria. The method is tested and illustrated on a few typical situations, such as the presence of outliers among the data.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- EconLit
Uključenost u ostale bibliografske baze podataka::
- EconLit
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts
