DocumentCode
437078
Title
Image segmentation based on minimum description length
Author
Furong, Wen ; Baozong, Yuan ; Xiaofang, Tang
Author_Institution
Inst. of Information Sci., Northern Jiaotong Univ., Beijing, China
Volume
1
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
749
Abstract
In this paper, we propose an energy function for image segmentation based on minimum description length. This functional can describe properties of the image as a random field, the region homogeneity properties and the regularity properties of the region boundary. Based on this energy function, we propose the two-step approach to solve this minimization energy function by employing curve evolution, maximum likelihood estimation and level set method.
Keywords
image segmentation; maximum likelihood estimation; minimisation; set theory; curve evolution; image segmentation; level set method; maximum likelihood estimation; minimization energy function; minimum description length; random field; region boundary; region homogeneity property; regularity property; Codes; Covariance matrix; Density functional theory; Gaussian processes; Image processing; Image segmentation; Maximum likelihood estimation; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1452771
Filename
1452771
Link To Document