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Croatian Operational Research Review, Vol. 5 No. 2, 2014.
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.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 | citiraj | |
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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 19.02.2019. 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. doi: 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 19.02.2019.];5(2):375-385. doi: 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]. doi: https://doi.org/10.17535/crorr.2014.0020 |
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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
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