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图形密码源码程序，例程结合易语言特殊功能支持库，调用API函数判断图形图像的点击顺序。(Graphics password source programs, routines combined with special features easy language support library , call the API function to determine whether a graphic image click sequence.)

说明：  二维、三维图像分割工具箱，采用基于matlab的标记分水岭算法(Two-dimensional and three-dimensional image segmentation toolbox, mark watershed algorithm based on MATLAB)

说明：  求图像峰值信噪比PSNR代码，相信对你很有用(PSNR PSNR for the image code, I believe that is useful to you)

帧间差法实现视频对象的分割，进行运动目标的检测小程序。(The frame difference method of video object segmentation, moving target detection procedures.)

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

根据超限像素平滑定义用 Matlab 自编写超限像素平滑法滤波(Super pixel smooth)

模拟退火MATLAB程序，可直接运行，或修改参数做其他用途(MATLAB monituihuo program, you can use it solve many problem.)

基于Matlab软件编程实现MC算法对人体脑部MRI图像进行面绘制三维重建；利用三维旋转变换和动画函数对脑部图形进行动画显示(Based on Matlab software programming realize MC algorithm on human brain MRI images drawn face 3 d reconstruction Use of 3 d rotation transformation and animation of brain function graph animation display)

一种改进的对比度分割算法。对红外图像有很好的分割效果。(an improved contrast ratio segmentation algorithm. The infrared image segmentation is a good result.)

图像超分辨率重建算法，实现图像的超分辨率重建。(super-resolution code )