yuyan

说明：  利用BOW结合空间金字塔模型，使用支持向量机进行图像分类(Image classification using bow)

双边滤波器，对彩色图像进行处理，效果非常好！(bialteral filter)

主要是多光谱多波段两幅图像的变化检测求得差异影像 大家可以参考参考 运行主程序(mian is used to difference of two images)

基于核的相关滤波跟踪方法，最新的，TPMAI上的文章，速度超级快！(This MATLAB code implements a simple tracking pipeline based on the Kernelized Correlation Filter (KCF), and Dual Correlation Filter (DCF).)

说明：  手眼标定方法。平面手眼标定，四点标定算法(Hand-eye calibration method. Planar hand-eye calibration and four-point calibration algorithm)

遥感信息工程学院遥感原理与应用课程实习监督分类(Supervised of Remote Sensing Principle and Application Course Practice)

高斯模糊是一种图像滤波器，它使用正态分布(高斯函数)计算模糊模板，并使用该模板与原图像做卷积运算，达到模糊图像的目的(Gaussian blur filter is a kind of image, it uses the normal distribution (gaussian function) to calculate fuzzy template, and use the template and the original image for convolution operation, achieve the goal of blurred image )

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)

仿射变换来实现旋转 (线性变换)，平移 (向量加)，缩放操作 (线性变换)(Affine transformations are implemented by rotation (linear transformation), translation (vector addition), scaling operation (linear transformation))

可用于医学图像处理的分水岭算法，可以输入黑白图像，生成彩色分割图像(Can be used for medical image processing of the watershed algorithm, can enter a black-and-white images, color segmentation image generated)