Segmentation

这是DBSCAN超像素分割的代码，可以发表个很好的论文，(This is a DBSCAN hyperpixel segmentation code that can publish a very good paper,)

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)

说明：  classic goldstein filter by matlab for interferogram phase noise filtering(classic goldstein filter by matlab)

利用小波变化实现对不同灰度图像的边缘检测(Changes implemented using wavelet different gray-scale image edge detection)

获取系统进程信息源码，程序结合易语言模块斩月_图像相关模块.ec，调用API函数实现屏幕差异传输。(Get system processes information source , combined with easy language module program _ Zangetsu image correlation module .ec, call the API function screen difference transmission .)

采用相邻一定距离的邻域图像差，提高了抗干扰能力，对亮度变化不敏感(Matching based on neighborhood difference feature)

一个人脸识别和人眼跟踪的程序包.针对几十幅图象组成的视频进行识别和跟踪.大家参考吧!(脪 禄赂 枚脠脣脕 鲁 脢 露 卤 冒 潞 脥脠脣脩脹 赂 煤 脳 脵渭脛 鲁 脤脨貌 掳 眉.脮毛 露 脭 录 赂 脢 庐 霉脥 录 脧贸 脳 茅 鲁 脡渭脛脢脫脝渭 陆 酶脨脨脢 露 卤 冒 潞 脥 赂 煤 脳 脵. )

说明：  数字图像处理常用程序，包括图像读取、显示、详细信息，对图像文件格式转换，RGB分量显示，索引图像、伪彩色图像、真彩色图像显示，灰度直方图处理，图像灰度变换，均衡化处理，图像加噪声处理，均值滤波、中值滤波，图像加减乘除运算，图像放大，插值拟合，旋转，多种边缘检测方法，高通滤波，低通滤波，带通滤波，维纳滤波，运动模糊等处理。(Common digital image processing programs, including image reading, display, detailed information, image file format conversion, RGB component display, index image, pseudo color image, true color image display, gray histogram processing, image gray transformation, equalization processing, image plus noise processing, mean filtering, median filtering, image plus, subtraction, multiplication and division, image amplification, interpolation Fitting, rotation, multiple edge detection methods, high pass filtering, low-pass filtering, band-pass filtering, Wiener filtering, motion blur and other processing.)

Colored-Noise Kalman Filter for Vibration Mitigation of Position Attitude Estimation Systems