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Original scientific paper
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

Fulltext: english, pdf (786 KB) pages 375-385 downloads: 801* cite
APA 6th Edition
Taler, P. & 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 and Kristian Sabo. "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches." Croatian Operational Research Review, vol. 5, no. 2, 2014, pp. 375-385. https://doi.org/10.17535/crorr.2014.0020. Accessed 21 Oct. 2019.
Chicago 17th Edition
Taler, Petar and Kristian Sabo. "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches." Croatian Operational Research Review 5, no. 2 (2014): 375-385. https://doi.org/10.17535/crorr.2014.0020
Harvard
Taler, P., and 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), pp. 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 [cited 2019 October 21];5(2):375-385. https://doi.org/10.17535/crorr.2014.0020
IEEE
P. Taler and K. Sabo, "Color image segmentation based on intensity and hue clustering - a comparison of LS and LAD approaches", Croatian Operational Research Review, vol.5, no. 2, pp. 375-385, 2014. [Online]. https://doi.org/10.17535/crorr.2014.0020

Abstracts
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.

Keywords
data clustering; color image segmentation; least square; least absolute deviation

Hrčak ID: 133786

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

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