Research on Image Segmentation Based on Snake Model of Previous Knowledge and Region Information
ZHOU CangXiong1,2, YU ShengLin1, WU Chen2
1.College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 2.School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003
Abstract Based on previous knowledge and region information, a novel parametric active contour model (Snake model) for image segmentation to ambiguous edge is described in this paper. In the proposed model, constant force in the balloon snake model is replaced by variable force which incorporates with previous knowledge and two regions information of foreground and background. Experiments prove that the proposed model is robust to initial contour places and it can segment ambiguous edge image automatically. In addition, result of segmentation to two regions that have identical mean and different variation is correct.
ZHOU CangXiong,YU ShengLin,WU Chen. Research on Image Segmentation Based on Snake Model of Previous Knowledge and Region Information[J]. , 2006, 19(2): 257-261.
[1] Zhang Y J. Image Segmentation. Beijing, China: Science Press, 2001 (in Chinese) (章毓晋.图像分割.北京:科学出版社, 2001) [2] Yang L, Yang X. Multi-Object Segmentation Based on Curve Evolving and Region Division. Chinese Journal of Computers, 2004, 27(3): 420-425 (in Chinese) (杨 莉,杨 新.基于区域划分的曲线演化多目标分割.计算机学报, 2004, 27(3): 420-425) [3] Luo X P, Tian J, Zhuge Y, et al. A Survey on Image Segmentation Methods. Pattern Recognition and Artificial intelligence, 1999, 12(3): 300-312 (in Chinese) (罗希平,田 婕,诸葛婴,等.图像分割方法综述.模式识别与人工智能, 1999, 12(3): 300-312) [4] Kass M, Witkin A, Terzopoulos D. Snake: Active Contour Models. International Journal of Computer Vision, 1987, 1(4): 321-331 [5] Li J. Curve Evolution Based Image Segmentation and Applications.Ph.D Dissertation. Institute of Pattern Analysis and Machines Intelligence, Shanghai Jiaotong University, Shanghai, China, 2001 (in Chinese) (李 俊.基于曲线演化的图像分割方法及应用.博士学位论文.上海交通大学,图像处理与模式识别研究所,上海, 2001) [6] Cohen L D. On Active Contour Models and Balloons. CVGIP: Image Understanding, 1991, 53(2): 211-218 [7] Xu C, Prince J L. Snakes, Shapes, and Gradient Vector Flow. IEEE Trans on Imaging Processing, 1998, 7(3): 359-369 [8] Clark E, Quinn A. A Data-Driven Bayesian Sampling Scheme for Unsupervised Image Segmentation. In: Proc of the IEEE International Conference on Acoustic, Speech and Signal Processing. Phoenix, USA, 1999, Ⅵ: 3497-3500 [9] Derin H, Elliott H. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields. IEEE Trans on Pattern Analysis and Machine Intelligence, 1987, 9(1): 39-55 [10]Zhu S C, Lee T S, Yuille A L. Region Competition: Unifying Snake, Region Growing, Energy/Bayes/MDL for Multi-Band Image Segmentation. In: Proc of the 5th International Conference in Computer Vision. Cambridge, USA, 1995, 416-423
2006, Vol. 19 
