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 ; Odjel za matematiku, Sveučilište Josipa Jurja Strossmayera u Osijeku
Kristian Sabo ; Odjel za matematiku, Sveučilište Josipa Jurja Strossmayera u Osijeku

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

Datum izdavanja:

30.12.2014.

Posjeta: 2.175 *