encrypt-a-decrypt

基于matlab的手势识别代码，有gui编写界面(Gesture recognition code based on matlab, GUI programming interface)

三维表面重建算法，matchingcube快速算法。(3D surface reconstruction algorithm)

利用误差扩散算法中的Floyd-Steinberg抖动算法来对图像进行二值化处理，从而方便图像调频加网输出(The use of error diffusion algorithm of Floyd-Steinberg dithering algorithm to image binarization treatment, thus facilitating image output FM Screening)

遗传算法与BP神经网络结合，可以进行彩色图像和灰度图像的分割。(Genetic algorithm and BP neural networks that can be color images and gray-scale image segmentation.)

红外与可见光实时融合算法 ------------------------------------ 若不能读取xvid视频，请安装XviD-1.1.3-28062007.exe。 ----------------------------------- 请双击*.bat文件看程序运行结果。 也可以在命令行下，输入“evs3 参数文件.xml 配准.xml”，以融合指定的多源视频图像。 ---------------------------------- 首先，离线地时空配准多源视频，并保存结果到xml文件。然后融合配准后的图像。融合过程是，通过分解图像为Laplacian金字塔，分别对图像的高频和低频按照规则合并，最后将Laplacian金字塔重新组合为图像。(Real time fusion algorithm for infrared and visible light------------------------------------If you cannot read XviD video, please install XviD-1.1.3-28062007.exe.-----------------------------------Double-click the*.bat file to see the program running results.Can also be in the command line, " evs3 input parameter file .Xml .Xml registration ", by the fusion of the specified source video image.----------------------------------First of all, offline space-time registration source video, and save the results to a XML file. After registration and fusion image. Through the decomposition of the image fusion process, Laplacian Pyramid, were on the high-frequency and low frequency image in accordance with the rules of the merger, Laplacian Pyramid reassembled for image.)

基于HOUGH变换的车道线检测和识别的程序，可以使用(Lane HOUGH transform detection and recognition based on the program, you can use)

编程实现大津（Otsu）自动灰度阈值分割算法的程序(Programming (Otsu) automatic gray Otsu threshold segmentation algorithm)

说明：  一个基于样例的图像修补技术的matlab演示(A sample-based image repair technology demo matlab)

对图像进行修复，直方图均衡化处理，中值滤波和均值滤波(To repair the image, histogram equalization, median filtering and mean filtering)

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)