搜索资源列表
IVUS-REGISTRATION
- IVUS图像配准,一篇经典的介绍ivus图像配准的方法,在极坐标系下分别从径向和周向方面进行了分析。-IVUS image registration, a classic introduction IVUS image registration method, respectively, in polar coordinates from the radial and circumferential aspect of the analysis.
Image-registration
- 图像配准,用MATLAB实现图像的配准,附有学习资料及完整代码,可直接运行。-image registration by matlab
Image-registration
- 这个主要是一些图像配准的实例,为后续的图像融合做准备。-This is mainly because some instances of image registration to prepare for the subsequent image fusion.
image-registration-system
- 本程序主要对遥感图像实现三种处理:几何校正、图像增强和图像配准。这三种处理都可以独立实现,然而对于原始的遥感图像将这三种处理依次进行效果更佳。-The program three treatments: remote sensing image geometric correction, image enhancement and image registration. Three processing can be implemented independently, however, the
1--Image-registration-thesis--2012
- 网上汇总已发表的关于图像配准的国内期刊论文,年份为2012年,只做学习交流参考之用,引用时请注明原创作者,否则后果自负。-Domestic J-line summary has been published on image registration, year 2012, only to learn the exchange of reference, reference, please indicate the original author, or peril.
2--Image-registration-thesis--2012
- 网上汇总已发表的关于图像配准的国内期刊论文【2】,年份为2012年,只做学习交流参考之用,引用时请注明原创作者,否则后果自负。-Domestic J-line summary has been published on image registration [2], the year of 2012, only to learn the exchange of reference, reference, please indicate the original author, or peril.
3--Image-registration--thesis--2012
- 网上汇总已发表的关于图像配准的国内期刊论文【3】,年份为2012年,只做学习交流参考之用,引用时请注明原创作者,否则后果自负。-Domestic J-line summary has been published on image registration [3], the year of 2012, only learning exchanges reference, reference, please indicate the original author, or peril.
image-registration-2
- 网上汇总已发表的关于图像配准的国内博士硕士论文 ,年份为2012年,只做学习交流参考之用,引用时请注明原创作者,否则后果自负。-Image registration online summary has been published on the domestic Doctoral Thesis, year 2012, only learning exchanges reference, reference, please indicate the original author, or per
registration
- 不同传感器或同一传感器在不同时间、不同地点获得的图像在空间上往往会存在差异。图像配准是图像融合的重要前提条件,配准精度的高低直接决定融合的重要前提条件,配准精度的高低直接决定融合结果的质量,图像配准是图像融合的关键技术之一。对不同的图像以及应用领域,适用的配准方法有可能有很大的差别,根据图像特点和应用角度找出适合的配准方法,是解决图像融合问题的关键。-Different sensors or the same sensor at different times, in different lo
registration
- 基于maltab自带交互式工具箱的图像配准方法。-image registration
Multi-source-image-registration-
- 将常见的图像配准方法分为基于图像灰度的方法和基于图 像特征的方法两大类。 以此为分类基础, 对国内外现有的图像配准技术和方法进行了分析和评述, 并重点介绍了基于图像特征的配准方法。-The common method for image registration based on image gray into the methods and methods based on image features two categories. As a classification based
Image-registration-technique-progres
- 简要回顾了图像配准技术的发展史和研究现状, 重点阐 述了当前的技术热点和应用趋势, 最后展望了进一步的研究方向。-A brief review of the development of image registration techniques and the history of Research, focusing on the current hot technology and application trends, Finally, the future direction of
image-registration-
- 该文研究利用小波变换的方法提取图像的边缘,并对边缘图像作交互方差分析,搜索出最佳交互方差的配准参数 通过对 S P O T 和 T M 图像的处理, 达到了精度较高的配准效-This paper studies the use of wavelet transform to extract image edge, and the edge of the image for interactive analysis of variance, search out the best intera
medical-image-registration
- 。 该文提出了多项式法、 样条函数法等基于空间变换的配准方法, 以及弹性模型、 粘性流体模型和光流场 模型等基于物理模型的配准方法两大类方法。-. This paper presents a polynomial, spline function method based on spatial transformation registration method, and an elastic model, viscous fluid model and optical flow model
Image-registration-MATLAB
- 介绍了在 MATLAB系统中,如何应用 MATLAB的 IPT函数对图像进行配准的方法-Introduced in MATLAB system, how to use the MATLAB IPT functions for image registration method
image-registration-techniqu
- 现代数字图像处理技术提高及应用案例详解(matlab版) 2.3图像配准技术-Modern digital image processing technology and application case explanation (matlab version) 2.3 image registration techniqu
4D-CT-lung-deformable-registration-
- 4D-CT肺部运动估计与变形配准:量化运动非线性和迟滞-4D-CT lung motion estimation with deformable registration: Quantification of motion nonlinearity and hysteresis
4-dimensional-CT-registration
- 四维CT图像从变形的注册吸气和呼气,屏气CT扫描之间的模拟-Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans
image-registration-_2D
- 图像配准程序,powell搜索策略,互信息准则,测试正常-Image registration procedures, powell search strategy, mutual information criterion
Image-registration
- 图像配准,学习图像处理必须的步骤,通用性好,实用-Image registration, image processing steps necessary for learning, common good, practical