RD-运动补偿

目前生成全息图主要有傅里叶和菲涅尔变换，此代码为利用菲涅尔变换将二维图片生成菲涅尔全息图，以达到图像加密的功能。(The current generated hologram mainly Fu Liye and Finel transform, the code for the use of Finel transform two-dimensional images generated Finel hologram, in order to achieve the function of image encryption.)

图像特征提取 梯度直方图 matlab代码 能提取图像特征向量。(Image feature extraction the gradient histogram matlab code can be extracted image feature vectors.)

老大中 《变分法基础》，对图像处理很有用的一本书(Lao Dazhong 《basis of variations》 which is very useful in the image processing)

一个运动估计运算的MATLAB文件，本人已经测试过，非常有用。(A motion estimation MATLAB file operations, I have been tested, very useful.)

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)

极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序(Polarization SAR images will covariance matrix data Pauli decomposition process)

说明：  任意简单多边形中轴算法，使用MATLAB实现~~别看资料，看代码(Arbitrary axis algorithm for simple polygon, the use of MATLAB data to achieve ~ ~ Do not see the code)

计算两个离散变量x和y的联合熵z = H（x，y）。 输入：x，y：两个相同长度的整数向量输出：z：联合熵 可以使用，有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy good for learning purposes)

该Matlab程序能够去除CT扫描得到的图像的环形伪影(The Matlab program is capable of removing ring artifacts from images obtained by CT scans)

说明：  对给定图片求图片中的染色体个数。具体步骤：中值滤波方法，二值化处理，膨胀和腐蚀，开闭运算，求连通区的个数(Of a given picture for the picture of the chromosome number. Concrete steps: median filter method, binarization processing, expansion and corrosion, opening and closing operations, and the number of connected areas)