Color Based Image Segmentation

Abstract

This article addresses color image segmentation in hue-saturation space. A model for circular data is provided by the vM-Gauss distribution, which is a joint distribution of von-Mises and Gaussian distribution. The mixture of vM-Gauss distribution is used to model hue-saturation data. A cluster merging process is applied to separate such identifiable objects in the image. The results are shown on Berkeley segmentation dataset. A cluster association methodology is developed for comparison.