搜索资源列表
MATLAB_Image_subpixel_Mutual_i
- MATLAB实现基于互相关的亚像素级图像配准源代码,MATLAB_Image_subpixel_Mutual_info,MATLAB-based cross-correlation of sub-pixel image registration source code, MATLAB_Image_subpixel_Mutual_info
matlabimageregistration.rar
- matlab图像配准源程序，很实用的源码。,Image Registration matlab source code, source code is very useful.
picture
- 基于灰度的两幅图像配准算法，两个程序，可以实现相关系数和PFC算法-Based on Gray' s two image registration algorithm, the two procedures, the correlation coefficient can be achieved and the PFC algorithm
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
tuxiangpeizhun_matlab
- 图像配准的几个程序，用matlab实现，能运行。-Several image registration procedures, using matlab to achieve, will be able to run.
interim
- 主要讲的是图像配准中的极对数转换问题。由程序得到较好的结果-The main speaker is the image registration in the very problem of the digital conversion. By the process achieve better result
jiyulunkuozuidahuxinxi
- 用matlab编写的基于轮廓最大互信息图像配准算法-Prepared using matlab contour based on the maximum mutual information image registration algorithm
jiyuguiyihuaMi
- 基于最大互信息的图像配准算法源程序 用matlab编写的-Based on the maximum mutual information image registration algorithm using matlab source prepared
MutuaInformationandinterestpoints
- 提出了一种优化的图像配准算法。首先把图像中的兴趣点及其角度信息提取出来，利用互信息准则，得到需要的配对点，得到两幅或多幅图像的拼接自然的完整图像, 实验表明，该算法是有效的。-An optimized image registration algorithm. First of all, the image of interest points and their point of view of information extracted, using the criteria of mutu
EDGE_MATCHES
- 基于边缘检测的图像配准程序，希望对大家有帮助。-Based on Edge Detection image registration procedures, in the hope that everyone has to help.
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
efficient_registration
- 利用傅里叶变换，在频域上对两幅图像配准，是一种比较配准的新方法，但是对弹性配准的效果不是很好 需要进一步的研究。-Registers two images (2-D rigid translation) within a fraction of a pixel specified by the user. Instead of computing a zero-padded FFT (fast Fourier transform), this code uses selective upsamp
ThinPlateSpline_MatlabCode
- thin plate spline（薄板样条）模型，将已知图像通过非刚性变换得到所需要的图像，在图像配准中非常有用。-thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.
jiyuMATLABdetuxiangpeizhun
- 图像配准常常是作为其他图像处理应用的前处理步骤使用的，往往用于图像的对准、目标识别与定位。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：首先用人机交互的方法在待配 准图像与基准图像之间进行图像配准所必需的匹配控制点的选取，然后用这些匹配控制点来计算两图像的某种空 间几何变换关系，最后利用这个空间几何变换关系对待配准图像进行几何变换，获得配准结果。实验表明，该方 法实现容易，且非常有效。 -Image registration is oft
yixuetuxiangpeizhun
- 本文借助多尺度分析为手段， 研究医学图像配准与融合过程中医学图像的增强、插值、配准、融合和分割等 关键问题的理论方法研究，扩展了尺度的含义，使其不再局限在通常的小波分 析和形态学两个方面。-In this paper, using multi-scale analysis as a means to study the medical image registration and fusion process of medical image enhancement, interpo
Registration
- 多种方法图像配准，不足之处还请多多指教！-Image Registration in a number of ways
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
PowellPSORegistration
- 基于互信息的图像配准算法，优化算法采用Powell和粒子群向结合的算法-Based on mutual information image registration algorithm, using Powell optimization algorithm and particle swarm algorithm to combine
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