CFAR

共厄梯度方法!!!本程序适用于求解形如f(x)=1/2*x Ax+bx+c二次函数的稳定点； (total Eritrea gradient method! ! ! The procedure will be applicable to solve the shape of f (x) = 1/2* x Ax bx c quadratic Function stability;)

自适应中值滤波程序 自己根据mathworks网站的源程序 改进而来 非常详细 拿来即可用(Adaptive median filter in accordance with the procedures themselves MathWorks Web site to improve from a very detailed source code can be used with)

在JPEG重压缩图像中定位出篡改区域,包括A-DJPG(对齐的JPEG重压缩），NA-DJPG（非对齐的JPEG重压缩）两类。(完整版)(Image Forgery Localization via Block-Grained Analysis of JPEG Artifacts.)

说明：  培养学生综合利用Matlab解决专业问题的能力 GUI设计+图像处理 基于数字图像处理，设计实现一个自然场景下公路交通限速标志分割和识别的程序。要求系统具有界面，并实现以下功能： 1）读入自然场景下包含交通标志的图像； 2）对图像进行预处理； 3）限速交通标志的分割； 4）交通标志区域的定位。 5）对限速标志中的数字进行分离和识别。(MATLAB basic programming experiment 5)

数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 (Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results.)

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)

CCD 摄像机内外部参数快速准确的标定方法(Fast and accurate calibration method for internal and external parameters of CCD camera)

基于halcon图像处理平台的相机标定算法，相当不错。。。。。(Halcon based image processing system camera calibration algorithm is quite good. . . )

图像处理入门教程，比较适合初学者，对于图像知识有所掌控，内容比较详细。(Image Processing Getting Started tutorial, suitable for beginners, more detailed image of knowledge has been the control.)

说明：  该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。(The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.)