image

数字图像处理matlab版 冈萨雷斯 一书中的附加源程序，生成的M文件，直接可用 (Digital image processing matlab version Gonzalez one additional source book, M-generated documents, directly available)

说明：  implementation of mser region detector

快速距离变换的程序，是在外国人的一个程序上小改了一下，vs2008下的控制台程序，可以直接设置断点调试(Fast distance transform procedure is a procedure in the foreign small change a bit, vs2008 console under the program, you can set breakpoints directly)

说明：  用VC开发的图形填充算法，简单实用， 希望对你的图形开发有所帮助， 如果有什么问题，可以与我联系(development of the VC graphics filling algorithm, simple and practical, and I hope to your graphics development will help, if any, can contact me)

图像处理领域有很多滤波器，好的滤波器可以很快的提取有效的特征，MR8是一组特别好的滤波器组，比gabor filter更好，这里是MR8的源码，有需要的可以下载一用！(There are a lot of image processing filter, a good filter can quickly extract effective feature, MR8 is a particularly good filter group, better than gabor filter, here is MR8 source, there is a need to download a use!)

脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)

implementation of watershed algorithm for segmenting an image.

专门用于测试数码相机的分辨率使用,有实验用图(Specifically for use in testing digital camera resolution)

sift算法具有旋转不变性 提取的特征点效果非常的好 用于图像配准中

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.)