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.
周昌雄，于盛林，吴陈. 基于先验知识和区域信息的Snake模型图像分割研究*[J]. 模式识别与人工智能, 2006, 19(2): 257-261.
ZHOU CangXiong, YU ShengLin, WU Chen. Research on Image Segmentation Based on Snake Model of Previous Knowledge and Region Information. , 2006, 19(2): 257-261.
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2006, Vol. 19 
