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jiyuHausdorffdetuxiangpeizhun.
- 针对图像配准中常出现的RST(旋转-比例-平移)变换,推导出了相应的盒距离变换公式。与传统的基于广 义仿射变换的Hausdorff盒距离变换公式相比,缩小了搜索距离空间。在计算Voronoi表面时,根据Hausdorff距 离的计算需要提出比较滑动窗口的区域Voronoi表面,节省了计算Voronoi表面的时间。并且在利用边缘点计算 Hausdorff距离时,剔除琐碎的边缘,仅使用较长的边缘计算。试验结果表明,这些改进方法较大地提高了基于 Hausdorff距离的图像配准的计算速度。
Aeria_Image_with_orientation.r
- 航空影像内定向,通过仿射变换确定扫描坐标和影像像平面坐标的关系,将影像坐标全部转换到像平面中,主要结算仿射变换参数,Aerial Image with orientation, scanning through the affine transformation to determine the coordinates and image plane coordinates as the relationship between the image coordinates of all the
ch6_ex6_3
- 透视变换代码 除了3*3矩阵和三个控点变为四个控点外,透视变换在其他方面与仿射变换完全类似-Perspective transformation code in addition to 3* 3 matrix and the three control points into four control points, the perspective transformation in other areas with similar affine transformation complete
cx
- 仿射变换和猫脸变换是图像加密算法中最基本的算法之一,很多重要的加密算法都是在此基础发展而成的,该程序供研究加密算法的初学者参考使用。-Affine transformation and cats face is the most basic image encryption algorithm in one of many important cryptographic algorithms are evolved on this basis, the program for research
CipherAndDecipher
- 用C语言实现仿射密码的加密和仿射密码的解密。-Implemented in C affine affine encryption and decryption password.
ncc.rar
- 由两幅图像匹配,进行合成,Harris提取特征点,匹配速度快,From the two images match, were synthesized, Harris feature point extraction, matching speed and
SIFT-matlab.rar
- 基于SIFT的图像配准程序 SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力,SIFT-based image registration procedure is the SIFT feature matching algorithm for matching feature points at home and abroad a hot
waveletcdf97
- 双正交9/7小波变换matlab源码和使用介绍-biorthogonal 9/7wavelet transform source code in matlab .
AffineTrans
- 本程序实现了对图像的读取,仿射变换以及显示的操作,基于openCV编写。-This program enables the image to read, affine transformation and display the operation, based on openCV preparation.
ASIFT_windows_beta_20090415
- 一种比sift效果更好的算法,可实现图像在几乎任意仿射变化下的特征提取,而且特征点比SIFT多,是09年最新的算法-asift, full name is the affine scale-invariant feature transform, that is, of scale-invariant features of affine transform, is used to extract more of the characteristics of affine distortion
Classical_cryptography_research
- 古典密码体制研究: 包括希尔密码、维吉尼亚密码、仿射密码、置换和维吉尼亚结合密码体制,对超过10k大小的文本进行加密和解密。-Classical cryptography research: including Hill passwords, Virginia password, affine password, password replacement and Virginia combined system, the size of more than 10k text encrypti
sitf-0.9
- 绝对的lowe老人家提出的sift算法源码,配套有文档说明,对于初学者极度有用,还有我添加的注释我移植的仿射变换函数,绝对值得下的资源~!-The absolute lowe elderly sift algorithm proposed source code, supporting have documented for beginners extremely useful, and I add comments I transplanted affine transformation fu
Harris
- 很详细的Harris算法讲解~~~包括非最大值抑制的算法~自适应-Harris algorithm is very detailed explanation ~ ~ ~ including non-maximum suppression algorithm ~
Asift
- 基于仿射变换的改进sift算法,秒杀现有一切sift、surf-based on affine sift,
classic
- 古典密码 可选择进行维吉尼亚加解密、希尔加解密、行置换的乘积加解密、仿射加解密 并可选择下列统计计算: 1.不同n值下维吉尼亚密码体制的频率统计 2.不同n值下维吉尼亚密码体制的重合指数计算 3.不同n n值下希尔密码体制的频率统计 4.不同n n值下希尔密码体制的重合指数计算 5.不同(m,n,t)下维吉尼亚和行置换的乘积密码体制的频率统计 6.不同(m,n,t)下维吉尼亚和行置换的乘积密码体制的重合指数计算 7.对于同一明文,给
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
affine10.25
- 仿射变换,本程序采用opencv和C++编程完成,能实现不同角度和尺度的仿射变换,运行良好-affine transform
image-stitching
- 实验两张图片的拼接,对于图片中的匹配对,用ransac方法消除错配,并估计出仿射矩阵。然后将一张图进行仿射变换,再实现拼接-Experiment two pictures of the stitching, matching pairs for the picture, with ransac way to eliminate mismatches, and to estimate the affine matrix. Then an affine transformation diagram,
SIFT1
- Matbal下的SIFT算法源代码,可以直接运行,处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题 -The SIFT algorithm source code under Matbal run directly matching occurred between the two image translation, rotation, affine transformation case
AffineTransformation
- 仿射变换法求深度信息,目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22