Title :
Color Based Image Segmentation
Author :
Roy, Anandarup ; Parui, Swapan Kumar ; Paul, Amitav ; Roy, Utpal
Author_Institution :
CVPR Unit, Indian Stat. Inst., Kolkata, India
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.
Keywords :
Gaussian distribution; image colour analysis; image segmentation; pattern clustering; Berkeley segmentation dataset; Gaussian distribution; cluster association methodology; cluster merging process; color based image segmentation; hue-saturation space; vM-Gauss distribution; Clustering algorithms; Color; Gaussian distribution; Image segmentation; Information technology; Merging; Probability density function; Random variables; Space technology; Virtual manufacturing;
Conference_Titel :
Information Technology, 2008. ICIT '08. International Conference on
Conference_Location :
Bhubaneswar
Print_ISBN :
978-1-4244-3745-0
DOI :
10.1109/ICIT.2008.29
