RGBchengintoHSIspace589745

说明：  用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)

说明：  模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法(Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways)

基于c5509的jpeg图像压缩实现 ，利用c语言(The jpeg image compression based c5509 achieved using c language)

HOG（方向梯度直方图）图像特征提取，以lena图像作为示例(HOG (Histogram of Oriented Gradients) image feature extraction, image as an example to lena)

测距的相关内容以及采用三角测量的方法测量出来(Ranging content and the use of the triangulation method is measured)

将一幅rgb图像转换成灰度图像，并显示出灰度图像。(the functon is to make a rgb image to gray image.)

一个老外用matlab 编写的5点法图像相对定向程序，是目前最新的算法实现。(5 point to prepare for a foreigner relative orientation program)

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)

拉普拉斯变换是工程数学中常用的一种积分变换，又名拉氏转换。拉氏变换是一个线性变换，可将一个有引数实数t（t≥ 0）的函数转换为一个引数为复数s的函数。(Laplace transform is a commonly used engineering mathematics integral transformation, also known as Laplace Transform. Laplace transform is a linear transform, argument can be a real number t (t ≥ 0) is converted to a function of a complex number s argument of the function.)

说明：  利用BP算法进行SAR成像，BP算法是一种对时域回波数据进行成像的算法(BP algorithm was used for SAR imaging)