DocumentCode
2089747
Title
Color Based Image Segmentation
Author
Roy, Anandarup ; Parui, Swapan Kumar ; Paul, Amitav ; Roy, Utpal
Author_Institution
CVPR Unit, Indian Stat. Inst., Kolkata, India
fYear
2008
fDate
17-20 Dec. 2008
Firstpage
254
Lastpage
255
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ICIT '08. International Conference on
Conference_Location
Bhubaneswar
Print_ISBN
978-1-4244-3745-0
Type
conf
DOI
10.1109/ICIT.2008.29
Filename
4731337
Link To Document