LMMSE

能直接用的GAC图像分割程序，很好用。具体内容可看程序(GAC can be directly used in image segmentation procedure, easy to use. To see program details)

OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)

生成一个Gabor Patch的图形，可以调整图形尺寸、相位、旋转角度、对比度等各种参数，在基于PsychToolbox的实验程序编程中非常实用，可用作视觉刺激图形(Generate a Gabor patch, parameters like size, phase, angle and contrast are modifiable, useful in PsychToolbox programming, can be used as visual stimuli)

模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序(One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clustering procedure)

易语言图像混色汇编版源码，易语言写的图形图象编程，很好的参考。(Easy language image color mixing assembly version of source code, easy to graphics programming language to write, a good reference.)

进行图像区域合并操作,能够较为有效，较好的进行图像合并(combine the image，very effcient)

针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。(Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.)

这个例子展示了如何使用proj_match_points_transformtion_ransac在拼接应用程序中观察两个图像。(This example shows how to use proj_match_points_distortion_ransac tomatch two images in a mosaicking application.)

图像处理作业：基于高频补偿算法实现图像滤波及分析 数值分析作业：四种方法实现求解根号3的值(Image processing operations: image filtering and analysis of numerical analysis operations: four methods based on high-frequency compensation algorithm to solve the root of the value)

说明：  图像配准SIFT算法,使用python实现（github搬运）(image resigtration sift)