通过统计具有图像增强能力的局部区域信息,提出了一种改进的水平集主动轮廓模型.结合非负核函数和具有矫正图像误差特点的灰度集群思想,定义了一种新的符号压力函数(SPF),此函数能够很好处理灰度不均匀、对象边界不明确的问题. 并且,引入惩罚项, 确保水平集函数的适应性.真实图像和合成图像的实验结果表明, 该模型收敛迅速, 具有抗噪性,对分割目标图像敏感, 能够处理弱边界的多目标图像
By using the local regional information which has the ability to enhance the image, an improved active contour model based on level set method is proposed. Defining a novel SPF function with a nonnegative kernel function and local intensity clustering property, the novel model could draw upon intensity information in local regions at a controllable scale. In addition, the penalizing term which can be called distance regularization term drives the motion of the zero level set toward desired locations. Experimental results for real and synthetic images show the desirable proposed method performances and the model efficiency on intensity inhomogeneities and weak boundaries
KASS M, WITKIN A, TERZOPOULOS D. Snakes: active contour models [J]. International Journal 0f Computer Vision, 1988, 1(4): 321-331.
LI C M, XU C Y, GUI C F, et a1. Level set evolution without re-initialization: A new variational formulation [J]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2005: 430-436.
CHAN T, VESE L. Active contours without edges [J]. IEEE Transaction on Image Processing, 2001, 10(2): 266-277.
VESE L, CHAN T. A multiphase level set framework for image segmentation using the Mumford and Shah model [J]. International Journal of Computer Vision, 2002, 50(3): 271-293.
ZHANG K H, ZHANG L, SONG H H, et al. Active contours with selective local or global segmentation: a new formulation and level set method [J].Journal of Image and Vision Computing, 2010, 28(4): 668-676.
LI C M, HUANG R, DING Z H, et al. A level set methodfor image segmentation in the presence of intensity inhomogeneities with application to MRI [J]. IEEE Transaction on Image Processing, 2011, 20(7): 2007-2015.
LI C M, KAO C Y, GORE J C, et al. Minimization of region-scalable fitting energy for image segmentation [J]. IEEE Transaction on Image Processing, 2008, 17 (10): 1940-1949.
ZHANG K H, SONG H H, Zhang L. Active contours driven by local image fitting energy [J]. Journal of Pattern Recognition, 2010, 43(4): 1199-1206.
李俊, 杨新, 施腾飞. 基于Mumford-Shah模型的快速水平集图像分割方法~[J]. 计算机学报, 2002, 25(1): 1176-1183.
WANG W Y, XU H B, WEI S H. An active contour model for selective segmentation [J]. Journal of Communication and Computer, 2005, 10(2): 36-41.