GLGS

运用粒子群优化算法对PID控制器进行优化设计，通过matlab实现(The use of particle swarm optimization algorithm to optimize the design of PID controller, through matlab to achieve)

k均值分类在遥感影像中的应用，完整的c++代码，注释详细易懂，并且已经验证过(k-means classification in remote sensing images in the application, complete c++ code, comments, detailed and easy to understand, and have been verified)

说明：  该文件主要用于减少相干斑噪声，包含各种常见的滤波器如Lee滤波器，Frost滤波器等(This file is mainly used to reduce speckle noise, including a variety of common filters, such as Lee filter, frost filter and so on)

该算法是局部线性嵌入的算法，代码无误，已运行，并且附带数据集，可以使用，非常实用。(The algorithm is locally linear embedding algorithm, the code is correct, has been running, and with the data set, you can use, very practical.)

该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。(This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly human-machine interface. When working, it detects objects in video using some techniques containing background subtraction, filter, binarization, and recognition. )

基于dwt的数字图像水印技术的matlab源代码。包括嵌入和提取，效果不错。(Dwt-based digital image watermarking technique matlab source code. Including the embedding and extraction, good results.)

图像傅利叶变换源码程序，结合易语言位图操作支持库，通过傅利叶公式的计算变化图像。(Fourier transform image source program , combined with easy language support library bitmap operations , by calculating the Fourier formula change images.)

Image processing and analysis

量化离散余弦变换系数的程序实现及其效果的检测。过程中使用了8x8的分块方法。首先计算每块的离散余弦变换（DCT)；然后量化了DCT的系数； 最后进行了反离散余弦变换(iDCT). 程序中还可以设定缩放系数。(Quantify the discrete cosine transform coefficients procedure and its effect detection. The process used in the 8x8 sub-block method. First calculate the block discrete cosine transform (DCT), quantization of the DCT coefficient Finally, the inverse discrete cosine transform (iDCT) program can also set the scaling factor.)

该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)