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 :
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