SAD NCC

内容包括高斯混合概率假设密度滤波器仿真程序，GM-PHD滤波器提供了一种PHD滤波器工程化的方法，在无数据关联的情况下进行目标跟踪。(This algorithm is extended to accommodate mildly nonlinear target dynamics using approximation strategies from the extended and unscented Kalman filters.)

利用积分图的方式提取图像hog特征，用于人脸、行人检测。(Using the integral plot to extract the image hog feature, for human face, pedestrian detection.)

电子稳像。。。基于灰度的电子稳像，利用matlab来实现的，，，，课程设计(Electronic image stabilization. . . Grayscale electronic image stabilization, the use of Matlab to achieve, and curriculum design)

说明：  快速磁共振成像领域的GRAPPA（generalized auto-calibrating partially parallel acquisitions）算法实现(GRAPPA realization in fast MRI)

说明：  利用GMS对特征点匹配进行约束，降低误匹配率，代码包含python版本，C++版本，matlab版本。(GMS is used to constrain the matching of feature points to reduce the error matching rate. The code includes Python version, C + + version and Matlab version.)

图像处理人脸分割,用阈值法进行肤色分割，从而定位人脸(imaging processing)

该程序可以将一附图片中的人的脸部轮廓检测出来，以作后续处理。(The program can be attached to a film of people' s facial contours detected for follow-up.)

粒子滤波器源代码，有助于学习。附有图像序列。(Particle Filter source code, contribute to learning. With image sequences.)

圖像打印

IDL编程：tif图像批量layerstacking，并保留原有地图投影。使用时只需要修改输入和输出路径。(IDL programming: tif image batch layerstacking, and retain the original map projection. Only need to modify the input and output paths use.)