搜索资源列表
Harris
- 特征提取是图像配准的重要步骤,使用Harris角点检测算法实现图像拼接。-Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.
nonrigid_version7b
- 非刚性图像配准算例,包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。 非刚性配准是当前应用最多的配准方法,用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
63535300peizhun
- 一个matlab实现的图像配准的算法. 供大家参考.-The realization of a matlab image registration algorithms. For your reference.
calibration
- 实现了图像配准的算法,MatLab下实现. -Achieve image registration algorithm, MatLab achieve.
siftregistration
- 这是一篇对于SIFT算法应用于非刚性图像配准的论文,相当不错-This is one for the SIFT algorithm is applied to non-rigid image registration of papers, quite good
disp_fig
- 采用通过提取图像的边缘特征对两幅图像配准,并采用双线性插值算法来提高配准精度。用于两幅图像间变化不大的配准。-Adopted through the extraction of image edge characteristics of two image registration, using bilinear interpolation algorithm to improve registration accuracy. Between two images for little chan
PowellRegistration
- 基于互信息的图像配准,优化算法采用Powell算法,采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab
PSORegistration
- 基于互信息的图像配准源码,优化算法使用粒子群算法-Based on Mutual Information Image Registration code, optimizing the use of particle swarm optimization algorithm
PSO_RMI
- 基于粒子群算法和区域互信息的图像配准,区域互信息比传统互信息具有更好的鲁棒性-Based on Particle Swarm Optimization and regional mutual information image registration, regional mutual information than the traditional mutual information has better robustness
hausdorff32
- hausdorff距离的一种改进算法,是我自己编写的,用于提取焦点之后的图像配准-hausdorff distance of an improved algorithm, which I have written for the extraction of the focus after the image registration
image1
- 这是有关图像配准方面很有用资料,可以用这些资料将先前的算法予以改进(压缩文件名与源文件名不同,原因是原文件名很长,只能改短)-This is the very image registration using information
Robustmultisenso
- 这是一个关于鲁棒的多传感器图像配准程序的算法-It is a robust multi-sensor image registration algorithm procedure
VCdigitalimageprocessingandrealization
- 是VC++数字图像处理典型算法一书的所有代码,非常值得下载!!! 包括1图像平铺 2图像抖动显示 3点运算 4 几何变换 5 正交变换 6图像增强 7形态学 8边缘增强 9图像分析 10图像配准 11图像恢复 12图像编码 一起学习,资源共享-Is the VC++ digital image processing algorithms typical of all of the code book, well worth downloading! ! ! Including 1
powell
- 使用powell算法进行图像配准的。需要先配置ITK才能运行-Powell algorithm using image registration. Need to configure to run ITK
RANSAC
- 随机抽样一致算法RANSAC,在图像配准中可以用于去除不精确的匹配点。-Random sample consensus algorithm RANSAC, in the image registration can be used to remove inaccurate matching point.
cornerdetect
- 图像中的角点包含大量的信息,在计算机视觉中扮演重要角色,在许多应用中角点用作特征点,例如图像配准、运动目标跟踪等。鉴于此,学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法,Chris Harris和Mike Stephens于1988年提出的Harris算法,以及MirosavTrai.kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数,因为角点是曲率函数的最大值,因此很容易通过阈值的方法检测
peizhun
- 图像配准的程序,给出了配准的几个算法,并有测试程序。-Image registration procedures, registration is given several algorithms, and a test program.
Registration
- 提出一种新的基于分支结构特征的视网膜图像配准方法,此算法可降低误匹配的点。能够应用到其他图像配准中,形成良好的等级结构。-Feature-Based Retinal ImageRegistration Using Bifurcation Structures
配准功能
- 实现图像的配准,其中包括平移、旋转、滤波器、优化算法等!-To achieve image registration, including translation, rotation, filters, optimization, etc.!
ppt1_
- 详细分析数字图像处理中的图像配准,介绍概念,分类,算法等-imagine matching