DocumentCode :
3319079
Title :
Image Segmentation Based on Integrated Gradient Vector Field
Author :
Peng, Jinye ; Yang, Wanhai ; He, Jingfang
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an
Volume :
2
fYear :
2006
fDate :
3-6 Nov. 2006
Firstpage :
1853
Lastpage :
1856
Abstract :
GAC (geodesic active contour) model is the most basic and important image segmentation method based on PDE (partial differential equation), but the smoothness of images has a notable influence on the segmentation result of images, so how to choose a proper smoothing scale is of importance in researches. In this paper, we proposed an integrated gradient vector field instead of single-scaled gradient vector of images, to improve the performance of GAC model. The experimental results show that our method has a faster convergent speed and a better anti-noise ability than the traditional GAC model
Keywords :
feature extraction; gradient methods; image segmentation; partial differential equations; geodesic active contour model; image segmentation; image smoothness; integrated gradient vector field; partial differential equation; Active contours; Educational institutions; Helium; Image converters; Image processing; Image segmentation; Information science; Partial differential equations; Smoothing methods; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Security, 2006 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
1-4244-0605-6
Electronic_ISBN :
1-4244-0605-6
Type :
conf
DOI :
10.1109/ICCIAS.2006.295386
Filename :
4076292
Link To Document :
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