smooth2

性能良好的非刚性配准程序，能够实现局部形变的非刚性配准，程序内赋有配准和待配准图像。(a excellent nonrigid registration program. it could achieve the local deformable image registration.)

在使用envi中的band_math时需要将两张图像设置为相同的行和列，改程序解决了该问题(In use of envi band_math need two images set to the same rows and columns, change the program to solve the problem)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

基于MATLAB，使用分水岭的细胞分割方法，同时可以利用这方法，进行细胞计数(Based on MATLAB, the use of watershed cell segmentation method, at the same time can make use of this method, the cell count )

本书详细介绍了医学图像注册方面的知识，包括配准的原理、刚性配准、非刚性配准，对于医学图像处理方面的研究具有很重要的参考价值。(The book details the registration of medical image information, including the principle of registration, rigid registration, non-rigid registration for medical image processing research has important reference value.)

pso粒子群优化算法程序 加了实现模糊功能的新算法,(Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,)

自动前背景分割，基于超像素、形状和外观前验概率及图切割(A novel foreground/background segmentation algorithm that attempts to segment the interesting objects from the rest of the image.The model includes a geometric prior and an appearance prior, whose parameters are learnt on the fly from images that are similar to the query image. It uses graphcut based energy minimization to enforce spatial coherence on the model’s output.)

用于对灰度图像的双边滤波，程序简单易懂，还有很强的可开发性(Bilateral Filtering)

burch型全息图，经测试能正常运行，结果含原图，全息图，再现图(Burch-type hologram, by testing the normal operation, the result with image, hologram, reproduce Figure)

应用于车牌识别中图像增强部分的对比度增强部分！（试了，出的图像效果对比效果比较明显）(License Plate Recognition used in image enhancement part of the contrast enhancement part! (Tried out the effect of the image contrast more obvious))