计算机工程Issue(11)：220-224,5.DOI:10.3969/j.issn.1000-3428.2014.11.043
改进测地活动轮廓模型的AOS实现
AOS Implementation of Improved Geodesic Active Contour Model
摘要
Abstract
The Partial Differential Equation ( PDE ) image processing is an advanced technology due to the ability of obtaining continuous and one-pixel edges. The improved Geodesic Active Contour( GAC) model by using the gradient vector field and a balloon force———GAC_GVF&B is an important one,because it can convergence accurately to target edges on images with multi-object or complex objects. But the model suffers from long running time which blocks its application. By appropriately increasing the time step and reducing the number of iterations,a semi-implicit additive split operator———Additive Operator Splitting ( AOS ) is used to speed up the computing of the GAC_GVF&B model and improve the convergence rate with the same accuracy of the segmentation. Experimental results show that the AOS algorithm is correct and effective,can reduces the number of iterations required,and lowers iteration time and cpu time. Furthermore,it speeds up the segmentation.关键词
图像分割/测地活动轮廓模型/梯度向量场/追赶法/水平集方法/加性算子分裂算法Key words
image segmentation/Geodesic Active Contour ( GAC ) model/gradient vector flield/chasing method/level set method/Additive Operator Splitting( AOS) algorithm分类
信息技术与安全科学引用本文复制引用
江东林,林震梅,王美清..改进测地活动轮廓模型的AOS实现[J].计算机工程,2014,(11):220-224,5.基金项目
国家自然科学基金资助项目“近景摄影测量中的自动图像分割技术”(11071270)。 （11071270）
