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基于离散余弦变换的数字水印，包括水印的嵌入和提取以及常间的各种水印攻击(Discrete cosine transform based on digital watermarking, including the watermark embedding and extraction, as well as between the various watermark attacks often)

说明：  matlab函数进行图像轮廓处理，处理效果还是可以的。(matlab function detect the picture and scale the picture)

讲解滤波与二值图像处理，比较简单的图像处理源码(Explain the filtering and binary image processing, image processing source code is relatively simple)

a lane dtection method using hough-transform

基于卡尔曼滤波器的监控系统的设计，实现了对运动目标进行识别，并对其运动轨迹进行预测的功能；当二值化图像超过一定阈值时，判断为有外人入侵，实现报警功能。(Kalman filter based on the design of monitoring system to achieve the recognition of moving objects, and its motion trajectory prediction function when the binary image exceeds a certain threshold, to determine the invasion of outsiders, to achieve alarm function.)

水下图像增强方法，可以对退化的水下图像进行图像复原，但是对太模糊的水下图像不适用。(a method of underwater images enhancement)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

基于全变分（TV）的多光谱遥感图像恢复。当多光谱图像中一个通道模糊时，利用其它通道的图像特征辅助进行去模糊或反卷积，效果不错！！附带有对应的文章做参考。(This is a new image restoration or deconvolution method, which uses one of clear band image to constraint Total Variation de-blurring of degraded band image in multispectral image. It tested with different noise with different regularization parameters. It also compared with otherhods.)

此程序是基于灰度共生矩阵的图像纹理特征提取算法，它进行了四个方向上的灰度共生矩阵的计算，从而得出他们的纹理特征向量，再求均值，使计算进度大幅度提高(This program is based on the GLCM texture feature extraction algorithm, which was four directions GLCM calculation to arrive at their texture feature vector, and then seek means to significantly increase computing progress)

说明：  利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)