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说明：  Matlab实现简单图形处理，包括灰度、亮度、对比度变化等功能(Implement Simple Graphics Processing with matlab. Equipped with the function of gray level,brighteness and contrast ratio transfotmation.)

对随机数的检测,统计0和1的频数,有利于减少计算量()

适用于小车跟踪和相应的轨迹滤波处理，代码是直接可以调通的(t is suitable for car tracking and corresponding trajectory filtering. The code can be adjusted directly.)

使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling contest.)

利用GS算法实现相位的校正，从而使相位得到一定程度的改善(The phase correction is realized by GS algorithm, so that the phase is improved to a certain extent.)

说明：  计算图像直方图的统计特征，包括均值，方差，熵，三阶矩等。(image histogram calculated the statistical characteristics, including mean, variance, entropy, such as third-order moments.)

DSL椭圆检测算法，输入待测坐标，返回椭圆参数(Direct Least Squares ellipse fittness matlab source code. developed byFitzgibbon)

英文文本的相似度计算，分别从词形、词序、词义等方面进行权重计算，得到相似度结果(English text similarity calculation were re-calculated from the word form, word order, meaning, etc. right, the similarity results)

用visual C++开发的图像匹配与处理系统，包括图像处理与图像匹配算法，NCC,梯度强度相关，互信息匹配等(With visual C++ development of image matching and processing systems, including image processing and image matching algorithm, NCC, gradient strength related mutual information matching)

PCL是一个类似于OpenCV的开源库，提供了很多三维点云的处理功能，其中就包括点云拼接。在三维扫描项目中，需要利用点云拼接方法将多次扫描得到的点云数据拼合成一个整体。在本例中，用一幅包含人脸的深度图像去匹配之前获得的人脸模板，这将使我们能够确定人脸在场景中的位置和方向。(PCL is an open source library similar to OpenCV, which provides a lot of processing functions for three-dimensional point clouds, including point cloud mosaic. In the three-dimensional scanning project, it is necessary to use point cloud mosaic method to combine the point cloud data obtained from multiple scans into a whole. In this example, a depth image containing face is used to match the face template obtained before, which will enable us to determine the position and direction of the face in the scene.)