matlab部分IPT函数的运用

稀疏矩阵的实例，讲述如何用稀疏矩阵进行实际的编程。本例是以超市购物为实际背景。(Examples of sparse matrix)

基于kalman滤波的图像目标识别的matlab代码，将运动目标从背景中分离出来(Kalman filter based on image recognition of matlab code, will be moving targets separated from the background)

实现基于卡尔曼滤波器的多目标跟踪，可进行相关了解与研究(object tracking based on kalman)

可评价影像融合质量，信息熵、标准差、相关系数等(Evaluable image fusion quality, information entropy, etc.)

自行编写的逆投影变换，可实现图像坐标系到世界坐标系的转换，从实现鸟瞰变换。(the IPM ,which is completed by me, is able to achieve the transformation between the image coordinates and world coordinates )

基于均值漂移的图像平滑MATLAB源戴码。(Based on mean-shift image smoothing Dai MATLAB source code.)

视频中运动的放大，欧拉运动放大,包含事例视频，以及代码使用方法。(Enlarge video motion, Euler motion amplification, contains examples of video, as well as the code to use.)

4——连通填充算法的实现 1.用户能够用鼠标绘制多边形。 2.可以清除屏幕，重新绘制。 3.填充颜色及多边形的颜色(4- Connectivity filling Algorithm 1. Users to draw polygons with the mouse. 2. Can clear the screen, re-mapping. 3. Polygon fill color and the color)

被动导引头辐射源跟踪新算法研究：粒子滤波+UKF的跟踪方法文献(The passive seeker radiation source tracking the new algorithm: particle filter tracking methods literature+UKF)

彩色图像纹理和色彩特征提取，并用fcm进行分割(Color image texture and color feature extraction, and split with fcm)