DocumentCode
3447497
Title
The Application of the MIC and Improved Snake Algorithm on the Image Segmentation
Author
Tang, Liqun ; Wang, Kejun ; Li, Yonghua ; Ning, Hui ; Yuan, Yongbin ; Guo, Qingchang
Author_Institution
Harbin Eng. Univ., Harbin
fYear
2007
fDate
23-25 May 2007
Firstpage
1898
Lastpage
1902
Abstract
In this paper a new image segmentation algorithm based on the MIC operator and improved snake model is proposed. The traditional snake model only applies the features of the curve, which did not adequately apply the feature of the image. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solves the drawbacks. It is proved by experiment that preferable image segmentation result is gotten based on the algorithm.
Keywords
curve fitting; edge detection; feature extraction; image segmentation; mathematical operators; MIC operator; corner detection; curve fitting; edge fitting; image feature; image segmentation algorithm; improved snake algorithm; Image segmentation; Industrial electronics; Microwave integrated circuits; Corner detection; Image segmentation; edge fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0737-8
Electronic_ISBN
978-1-4244-0737-8
Type
conf
DOI
10.1109/ICIEA.2007.4318740
Filename
4318740
Link To Document