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基于有限内存Broyden-Fletcher-Goldfarb-Shanno优化算法的图像非刚性配准方法
引用本文:丁辉,张兴敢,唐岚. 基于有限内存Broyden-Fletcher-Goldfarb-Shanno优化算法的图像非刚性配准方法[J]. 南京大学学报(自然科学版), 2011, 0(4): 432-437
作者姓名:丁辉  张兴敢  唐岚
作者单位:南京大学电子科学与工程学院;
基金项目:东南大学移动通信国家重点实验室开放基金(N200902)
摘    要:图像配准可以分为刚性配准和非刚性配准两类,图像非刚性配准是图像处理研究的热点和难点,其中的参数模型往往转化为无约束优化问题的求解,当参数数目较大时求解比较费时,提高此类算法效率的关键之一是减少迭代算法中矩阵的计算量和存储量.本文研究了一种非刚性配准方法,该方法应用Basic样条自由变形模型,此模型改变控制点只影响其附近...

关 键 词:非刚性配准  Basic样条  自由变形  有限内存Broyden-Fletcher-Goldfarb-Shanno优化

Non-rigid registration based on Basic-spline free form deform and limited memory Broyden-Fletcher-Goldfarb-Shanno optimal algorithm
Ding Hui,Zhang Xing-Gan,Tang Lan. Non-rigid registration based on Basic-spline free form deform and limited memory Broyden-Fletcher-Goldfarb-Shanno optimal algorithm[J]. Journal of Nanjing University: Nat Sci Ed, 2011, 0(4): 432-437
Authors:Ding Hui  Zhang Xing-Gan  Tang Lan
Affiliation:Ding Hui,Zhang Xing-Gan,Tang Lan (Department of Electronic Science and Engineering,Nanjing University,Nanjing,210093,China)
Abstract:Image registration is one of the basic tasks of image processing,which is widely used in military,remote sensing,medicine,computer vision,pattern recognition and other fields.Image registration is to make an image consistent with another image on the corresponding point,surface,or pixel values to using geometric transform in the same space,which will be a variety of modes of image information fusion into a new image.Multiple images from the same object are taken by the same or different sensors,at different...
Keywords:non-rigid registration  Basic-spline  free form deform  limited memory Broyden-Fletcher-Goldfarb-Shanno optimal method  
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