预处理

基于matlab的图像加解密的示例演示程序,带GUI显示界面，有2种加密算法(Matlab based image encryption and decryption demonstration program, with GUI display interface, there are 2 kinds of encryption algorithm.)

用matlab实现的表面质量检测的程序，主要检测图像缺陷，并标示出缺陷位置，工业生产过程中亦都有用。(Using matlab to achieve the surface quality inspection procedures, the main defect detected image, and mark the location of the defect, the industrial production process also has a use.)

说明：  Halcon与C#联合编程（Halcon12）(Halcon and C# joint programming (Halcon 12))

此程序为区域增长经典算法，程序后面有详细注释(This procedure is a classical algorithmfor the regional growth,the procedure followed in detail the Notes)

视频图像序列中分的运动目标检测matlab源码，分割运动目标(carve the moving target detection Matlab source, Moving Target Segmentation)

广义正交压缩感知的代码，实现了压缩感知与图像的重构(Generalized orthogonal compressed sensing code, to achieve compressed sensing and image reconstruction)

多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

这是一个简单图像处理的GUI程序。实现的功能有：直方图统计，直方图拟合，边缘提取和自定义模板算子处理。界面采用的是ENVI 4.7的风格。(This is a simple image processing GUI program. Implemented features are: histogram, histogram fitting, edge extraction and custom template operator handling. Interface using the ENVI 4.7 style.)

基于RANSAC算法的图像匹配过程，包括提出该算法的文章以及文章中所提到的所有程序代码，可以实现具有高度异常点的图像匹配过程。(RANSAC algorithm based on image matching process, including all the program code of the algorithm proposed article and the article mentioned, the image matching process can be achieved with a high degree of abnormal points.)

实验目的： 1） 图像水平集合 2） 图像加密算法 3） 边缘提取 4） 噪音图像的产生 （2）显示图像，理解图像的模型 （3）使用图像的不同格式，理解图像压缩的意义 （4）对图像做简单的操作 本次实验需要熟练使用以下几个MATLAB命令： imread, imwrite, imshow,figure (Experimental purposes: 1) the level of collection of image 2) image encryption algorithm 3) Edge 4) noise generated images (2) display images, understanding image model (3) the use of images in different formats, understanding the significance of image compression (4) image to do a simple experiment needs to operate the skilled use of the following MATLAB command: imread, imwrite, imshow, figure)