5.2

平稳移不变小波变换，及图像去噪应用，PSNR, SSIM图像质量评估(stationary wavelet for image denoising)

图像分割，显著性算法的precision，recall 和ROC的评价指标计算。(Image Segmentation, significant precision,recall and ROC assessment index calculation algorithm.)

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

利用matlab实现不同曝光成度的图像融合，matlab实现HDR功能(Using matlab to realize image fusion with different exposure degrees, and using MATLAB to realize HDR function)

五种粒子滤波仿真，便于初学者学习粒子滤波算法(Five particle filter simulation, easy for beginners to learn particle filter)

svd图像压缩，程序中使用了三种方法的SVD，包括直接svd，分块svd和小波svd(3 svd comprecessions.)

说明：  基于压缩感知的图像融合程序 matlab编写(Compressed sensing image fusion based program written matlab)

GABOR对SAR图像进行滤波及纹理提取，可直接使用(GABOR of SAR image filtering and texture, can be used directly)

采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。(Code to compute superpixels. use cncut and superpixel code for segmentation. Mex program c and matlab)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)