LSB

说明：  最近一直在看matlab仿真WSN的资料，今天找到一个仿真LEACH协议的。其主要是为了仿真他自己提出来的分簇协议，并给出了matlab代码，同时给出leach的代码。有兴趣的可以研究一下leach 协议和deec的协议对比(I've been looking at the MATLAB simulation WSN recently, and today I've found a simulation LEACH protocol. The main purpose is to simulate the clustering protocol proposed by himself, and give the matlab code, and give leach code at the same time. Interested can study the LEACH protocol and DEEC protocol comparison)

说明：  基于空间信息的模糊均值聚类算法，SFCM，适用于数据分析，图像分割(space fuzzy-c-means clustering algorithm)

运用本征模式匹配理论研究了声子晶体实际的声学速度沿两个高度对称的方向上的第一布里渊区里的特性。(The effective acoustic velocity along two highly symmetric directions of the first Brillouin zone is studied in a two-dimensional squarely arranged solid-solid phononic crystal.)

opencv实现对图像的旋转、平移、缩放(opencv rotate move zoom)

这是个由matlab仿真实现的基于dwt的数字水印技术算法，实现了数字水印的嵌入、提取和一系列攻击实验。效果良好。(This is implemented by the matlab simulation of digital watermarking technique based on dwt algorithm, realization of the digital watermark embedding, extraction and a series of attacks on experiments. Good effect.)

图像处理中C#畸变校正程序，针对鱼眼图像的径向畸变校正，利用空间直线在校正图像中仍然为直线的基本原理，且直线在除法模型下为圆弧，从而可以通过检测圆弧对鱼眼图像进行畸变校正。(Image processing program C# distortion correction for radial fisheye image distortion correction, the use of space in a straight line in the corrected image as the basic principle is still straight, and a straight line at the division model is a circular arc, so that the arc can be detected by fish eye image distortion correction.)

5.在面板中画圆弧的程序，帮助你画出你想要的圆弧。(5 arc in the panel painting program to help you draw your desired arc.)

本书是国内第一本全面介绍OpenCV的中文版图书，本书可作为信息、图像处理和模式识别等领域的高年级本科生、研究生使用，也可作为研发人员的参考手册。(This book is the first comprehensive introduction to OpenCV s Chinese version of the book, this book can be used as information, image processing and pattern recognition in areas such as advanced undergraduates, graduate students, but also as a reference manual for researchers.)

说明：  破解halcon17.12的dll x86,x64文件(Cracking DLL x86, x64 files of Halcon 17.12)

基于字典学习和矩阵低秩稀疏分解的SAR图像处理新方法，拓展了低秩稀疏分解的应用领域，有很好的应用前景。(Dictionary Learning and Low-rank Sparse Matrix Decomposition for Sparsity-driven SAR Image Reconstruction)