基于LBF方法的测地线活动轮廓模型  

Geodesic Active Contour Based on LBF Method

作　　者：潘改[1,2] 高立群[1] 张萍[3] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110819 [2]江苏师范大学电气工程及自动化学院,徐州221116 [3]鞍山师范学院物理科学与技术学院,鞍山114005

出　　处：《模式识别与人工智能》2013年第12期1179-1184,共6页Pattern Recognition and Artificial Intelligence

摘　　要：经典的测地线活动轮廓模型分割含有弱边界的目标时,难以得到真实边界.为解决这一问题,文中将结合局部二元拟合(LBF)方法和测地线活动轮廓模型的优点,提出一种基于LBF方法的测地线活动轮廓模型.首先,将LBF方法的能量泛函进行归一化处理,取代测地线活动轮廓模型的边缘停止函数.其次,构建梯度下降流,促使轮廓曲线运动到目标边界上.最后,对5组含有弱边界的图像进行仿真实验.实验结果表明,文中模型能准确分割含有弱边界的目标,具有抗噪性,同时对初始曲线的位置不敏感,优于其它常见改进的测地线活动轮廓模型.It is difficult to get the real boundary of the object with poor boundary using the classical geodesic active contours. To deal with this problem, the local binary fitting （LBF） method and geodesic active contour are combined to propose a geodesic active contour based on LBF method in this paper. Firstly, the energy function of LBF method is normalized to replace the edge stopping function of geodesic active contour. Then, a gradient descent flow is established to urge an active contour to move at the boundary of the object. Finally, simulation experiments are implemented on 5 images with poor boundaries. Experimental results show the proposed model segment objects with poor edge correctly with anti-noise ability and it is insensitive to positions of the initial curve. The proposed model is superior to other improved geodesic active contours.

关 键 词：测地线活动轮廓模型 局部二元拟合方法 边缘停止函数 梯度下降流 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]