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Izvorni znanstveni članak
https://doi.org/10.17535/crorr.2014.0020

Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches

Petar Taler   ORCID icon orcid.org/0000-0002-5171-6936 ; Department of Mathematics, Josip Juraj Strossmayer University of Osijek
Kristian Sabo ; Department of Mathematics, Josip Juraj Strossmayer University of Osijek

Puni tekst: engleski, pdf (786 KB) str. 375-385 preuzimanja: 801* citiraj
APA 6th Edition
Taler, P. i Sabo, K. (2014). Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches. Croatian Operational Research Review, 5 (2), 375-385. https://doi.org/10.17535/crorr.2014.0020
MLA 8th Edition
Taler, Petar i Kristian Sabo. "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches." Croatian Operational Research Review, vol. 5, br. 2, 2014, str. 375-385. https://doi.org/10.17535/crorr.2014.0020. Citirano 21.10.2019.
Chicago 17th Edition
Taler, Petar i Kristian Sabo. "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches." Croatian Operational Research Review 5, br. 2 (2014): 375-385. https://doi.org/10.17535/crorr.2014.0020
Harvard
Taler, P., i Sabo, K. (2014). 'Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches', Croatian Operational Research Review, 5(2), str. 375-385. https://doi.org/10.17535/crorr.2014.0020
Vancouver
Taler P, Sabo K. Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches. Croatian Operational Research Review [Internet]. 2014 [pristupljeno 21.10.2019.];5(2):375-385. https://doi.org/10.17535/crorr.2014.0020
IEEE
P. Taler i K. Sabo, "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches", Croatian Operational Research Review, vol.5, br. 2, str. 375-385, 2014. [Online]. https://doi.org/10.17535/crorr.2014.0020

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.

Ključne riječi
data clustering; color image segmentation; least square; least absolute deviation

Hrčak ID: 133786

URI
https://hrcak.srce.hr/133786

Posjeta: 985 *