jiangcaiyang

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.)

基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等(MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interface, using matlab language to write code to achieve functionality, including image reading, storage, display, histogram equalization, thresholding, wavelet decomposition, wavelet reconstruction, add noise, denoising, smoothing, sharpening, edge detection, image segmentation, etc.)

说明：  自相关算法,用于图像处理方面，可以用来处理模糊的图像(Autocorrelation algorithm, for image processing, can be used to deal with blurred images.)

方向梯度直方图的全部代码，广泛应用于行人检测行人检测(Histogram of Oriented Gradients code Pedestrian Detection)

说明：  matlab编写高斯光束高斯光束模拟的焦点附近光场分布(Matlab programming of Gaussian beam the distribution of light field near the focus of Gaussian beam simulation)

指纹识别预处理，预处理包括图像增强，图像细化，寻找奇异点，细节检测(Preprocessing of fingerprint identification)

mfc图像处理，实现图像的配准，自己编写，可以应用(mfc image processing, image registration)

小波变换实现图像增强的示例，matlab编写。(an example of image enhacement based on wavelet transformation, writed by matlab.)

半自动分割彩色图像的颜色相同区域，可以达到PS的魔棒效果(Semi-automatic segmentation of color images the same color region can reach the magic wand effect of PS)

几种基本的CFAR检测方法的比较，各种杂波背景分布的参数估计方法等等(Comparison of basic types of CFAR detection method, a variety of clutter distribution parameter estimation methods, etc.)