DocumentCode
1742288
Title
Segmentation of color image using deterministic annealing EM
Author
Cho, Wan Hyun ; Park, Soon Young ; Park, Jong Hyun
Author_Institution
Dept. of Stat., Chonnam Nat. Univ., Kwangju, South Korea
Volume
3
fYear
2000
fDate
2000
Firstpage
642
Abstract
We present a color image segmentation algorithm based on statistical models. A novel deterministic annealing EM (expectation maximisation) formula is used to estimate the parameters of the Gaussian mixture model which represents the muti-colored objects statistically. The experimental results show that the proposed deterministic annealing EM provides a global optimal solution for the maximum likelihood parameter estimation and the image field is segmented efficiently by using the estimates
Keywords
Gaussian processes; image colour analysis; image segmentation; maximum likelihood estimation; simulated annealing; color image; deterministic annealing; expectation maximisation; image segmentation; maximum likelihood estimation; parameter estimation; statistical models; Annealing; Clustering algorithms; Color; Entropy; Image segmentation; Maximum likelihood estimation; Parameter estimation; Probability distribution; Robot sensing systems; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.903627
Filename
903627
Link To Document