CellTracking

图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等(Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification, etc.)

本程序采用水平集方法，演示了一个心形曲线在曲率力的作用下，逐渐消逝的过程。(This procedure uses the level set method, shows the process of a heart-shaped curve s disappearing under the force of the curvature.)

基于多分辨率的NSST变换工具箱，用于图像融合效果好，且速度优于NSCT。(Based on Multi-resolution NSST conversion kit for image fusion effect is good, and the speed is better than NSCT.)

matlab程序，图像应用处理，可实现散焦模糊篡改图像的定位和分离，实现模糊图像真实性的检测(matlab program, image processing applications can be realized defocus blurred image tampering localization and separation, to achieve authenticity blurred image detection)

说明：  文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码 用Lp正则化方法做盲复原的代码 demo_text_deblurring 是主函数(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" main function: demo_text_deblurring)

一个集成的图形界面的程序，可调用每一次作业子程序。 一、调用画点的函数，用DDA、中点算法画直线和中点算法画圆和椭圆。 二、多边形扫描转换算法和区域填充算法实现（扫描线算法为必做，基于求余运算的边缘填充和边标志算法为任选；基于种子的区域填充采用4连通区域的递归种子填充算法，或扫描线种子填充算法，要求种子点(x,y)可交互输入）。 三、线段裁剪和多边形裁剪算法的动画演示实现。（两种线段裁剪算法和H-S多边形逐边裁剪算法）多边形裁剪算法的动画演示要求先画出一个封闭的多边形，再画矩形的裁剪窗口，然后选择裁剪按钮（或命令），按下“上边裁剪”按钮（或执行“上边裁剪”命令），多边形相对裁剪窗口的上边进行裁剪，显示上边裁剪后的多边形，依此进行其它各边裁剪。 四、用动画实现二维图形变换的各种算法，实现对指定形体的平移、旋转和缩放。（包括类似自行车行走和绕固定点旋转的自旋转物体动画。） 五、简单三维图形系统：凸多面体的建模、透视投影，隐藏面的消除及基本图形变换（平移、旋转、缩放）。 六、交互式Bezier曲线的输入绘制程序实现 (An integrated graphical interface of the program, each operation subroutine callable. One call a function of the point of the painting, with the DDA, the midpoint algorithm for drawing a straight line and the midpoint algorithm circle and oval. Second, the polygon scan conversion algorithm and region filling algorithm (scan line algorithm for must fill and edge flag algorithm based on the edge of the modulo operator is optional using the 4 regional connectivity recursive seed filling algorithm based on the area of seed filling, or scan line seed filling algorithm requires the seed point (x, y) can be entered interactively). Line Clipping polygon clipping algorithm animation achieved. (Two Line Clipping Algorithm and HS polygon-by-side clipping algorithm) polygon clipping algorithm animation requires draw a closed polygon, rectangle and then draw the crop window, and then select the the cropped button (or command), press the "on top of cutting "button (or the implementation of)

虹膜归一化的代码，只要给出定位好的虹膜图片，就可以很好的进行归一化，使用的极坐标变换。(Normalized iris code, as long as the position is given a good iris image, you can be a good uniform, the use of the polar coordinate transformation.)

说明：  实现DCT与DWT相结合的算法,用matable及小波变换实现所想构思。(The algorithm of combining DCT with DWT is realized, and the idea is realized by matable and wavelet transform.)

卡尔曼滤波源代码 Some brief notes ---------------- kfdemo.m is a Matlab script file to run a demonstration of the Bayesian Kalman filter. It loads file kfdemo.mat (saved as version 4 so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or included as they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any further analysis. Steve Roberts 7-2-98 (Kalman filter source code Some brief notes kfdemo.m is a Matlab script file to run a demonstration of theBayesian Kalman filter. It loads file kfdemo.mat (saved as version 4so that it will read in either v4 or v5 Matlab). The other files are called by kf.m (the Kalman filter) or includedas they may be useful. Normalis.m normalises data to zero-mean, unit variance along components. I always do this before any furtheranalysis.Steve Roberts 7-2-98)

说明：  利用基于直方图的自适应阈值方法实现分割前景与背景a）设定三个不同阈值，直接观察分割结果； b) 利用统计直方图，得到一个自适应的阈值.(The segmentation foreground and background a are realized by using the histogram based adaptive threshold method, and three different thresholds are set, and the segmentation results are observed directly. B) a adaptive threshold is obtained by using the statistical histogram.)