msaliency

相位接包裹程序，可以对相位进行展开，简单，展开速度快(Phase then wrapped procedures can start phase, simple, fast start)

基于模型匹配的永磁同步电机混沌化控制例子，是本人一点点做出来的。(this is a example for Chaos Anti-Control of Permanent Magnet Synchronous Motor Based on Asymptotic Model Matching. it was completed by myself.)

基于图像颜色矩和纹理的图像检索系统，matlab语言编写，图像库包含在内(Image color and texture-based image retrieval system, Matlab language, image library included)

通过图像处理技术实现对眼睛中的细微血管的提取，并进行强度变换，使效果更好。(Through the realization of extraction of slight blood vessels in the eye image processing technology, and intensity transformation, so that the effect is better.)

SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少.(SIFT feature matching algorithm is at home and abroad feature points matching hot area of ​ ​ research and difficulties in its matching capability that can handle between the two images, translation, rotation, the matching problem in the case of affine transformation, and even to some extent have a relatively stable feature of the ability to match images taken on any angle. The algorithm is more foreign materials, but the Chinese introduction less.)

有关pca算法方面的学习，有利于pca算法原理的实现(something related to the study of pca)

说明：  分块直方图均衡化处理图像 用户输入分块的x,y方向的分块个数，即可将图形分成各个小块进行直方图均衡化。 大津法处理图形，包括一维大津法和二维大津法的实现 (the realization of the Histogram equalization algorithm. the realization of otsu algorithm to process the images)

kinect扫描到的人体分离出来，并以二值图显示，且可以保存在本地，丰富的注释帮助理解(kinect body scan to be separated, and binary image display and can be saved locally, rich annotation to help understand)

求解分线性脉冲传输方程的SSFM方法,其中使用了改进的分步傅里叶算法，适合新手(the SSFM method to calculate the nonlinear pulse propagation equation)

在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云，通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大，叫稀疏点云；而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集，叫密集点云。(Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as point clouds, usually spaced three-dimensional coordinate measuring machine number of points obtained in relatively small dots are relatively large, called sparse point cloud while the number of point cloud using the three-dimensional laser scanner or camera scanner get bigger and more intensive, called dense point clouds.)