背景差分法MATLAB实现

基于HSV与小波包分析的遥感图像融合，首先多光谱图像转换到HSV空间，再与全息图像分别进行小波包分解，然后低频与高频各自采用不同的融合方法，最后得到融合图像。(image fusion)

说明：  通过利用“Otsu”方法对图像进行全局阈值分割处理。然后，将灰度图转化成二值图，为获得大豆颗粒计数和大小做准备。调用函数获得图像连通图的数量，并测量标注矩阵中每个标注区域的属性，获得每个标注区域的长度。最后通过寻找每个区域的重心数，即可统计出大豆的个数(The Otsu method is used to segment the image. Then, the gray-scale image is transformed into a binary image to prepare for the soybean particle count and size. Call the function to get the number of connected graphs, measure the attributes of each annotation region in the annotation matrix, and get the length of each annotation region. Finally, the number of soybean can be calculated by finding the number of barycenters in each region)

用于仿真OAM光束在真空中进行夫琅禾费衍射，附件是其相关书籍(Used to simulate Fraunhofer diffraction of OAM beam in vacuum)

基于空间几何约束的单目视觉物体测距 基于空间几何约束的单目视觉物体测距(Geometric constraints based on spatial objects ranging monocular vision Geometric constraints based on spatial objects ranging monocular vision)

时空域下的信息隐藏技术，LSB ,MSB以及二值图像中的信息隐藏(When the airspace under the information hiding technology, LSB, MSB, as well as binary images of Information Hiding)

利用libsvm对遥感影像进行分类，需在已经编译了libsvm的环境进行(Using libsvm to classify remote sensing images)

基于小波变换的数字图像降噪的源代码，利用改进的小波阈值法进行图像去噪(Digital image noise reduction based on wavelet transform source code, improved wavelet thresholding method for image denoising)

几种图像去燥以及图像增强的滤波器示例，中值滤波，陷波滤波器、频域低通滤波，均值滤波等(Several examples of image de dryness and image enhancement filters, median filtering, notch filter, frequency domain low-pass filtering, mean filtering, etc.)

Harris角点检测，关于角点的应用在图像处理上比较广泛，如图像匹配(FPM特征点匹配)、相机标定等。网上也有很多博客对Harris角点检测原理进行描述，但基本上只是描述了算法流程，而其中相关细节并未作出解释，这里我想对有些地方做出补充说明，正所谓知其然知其所以然，如有不对，还望指正。(Harris corner detection)

图像的纹理分析应用实例,主要可用于模式识别当中(image texture analysis application, which can be used for pattern recognition)