GUI

test figure example to check gui

仿真了均匀线性阵的波束形成，对比了不同加权下的波束形成。可以改变来波方向，效果明显。(Simulation of a uniform linear array beamforming, comparison under different weighting beamforming. You can change the direction of the incoming wave, the effect is obvious.)

通过对图象实现各种扫描显示，了解图象的绘图过程，便于实现对图象处理的编程显示。(of images of various scanning, image understanding of the mapping process to facilitate the achievement of the image processing program shows.)

nurbs曲面拟合，采用nurbs算法，对随机生成点阵进行曲面拟合(nurbs surface fitting using nurbs algorithm, on randomly generated lattice for surface fitting)

连续信号的采样与重构,主要说明信号采样与重构程序(Continuous signal sampling and reconstruction, mainly explain the procedure of signal sampling and reconstruction)

用于求取三维点云数据的法向量，我的人脸建模就是用的这个，效果很好，但必须保证点云没有重叠的，否则会出现严重错误。(Strike a 3D point cloud data for normal vectors, and my face is to use this model, the effect is very good, but must ensure that there is no overlap of the point cloud, there would be a serious mistake.)

一个比例和方向自适应均值漂移跟踪算法（SOAMST） 提出本文所要解决的问题，如何估计的规模和方向 改变均值漂移下的目标跟踪框架。在原来的均值偏移 跟踪算法，可以很好地估计目标的位置，规模的同时， 方向的变化，不能自适应估计。考虑到图像（重量） 是来自于目标运动模型和候选模型可以代表的可能性，一个 像素属于目标，我们证明了原来的均值漂移跟踪算法可以 推导出的重量图像的零阶和一阶矩。随着零阶 矩和目标模型和候选模型之间的Bhattacharyya系数， 提出了简单而有效的方法来估计的规模为目标。然后一种方法， 利用估计的区域和第二阶中心矩，提出 自适应地估计目标的宽度，高度和方向的变化。广泛 实验来证实所提出的方法，并验证其可靠性 规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is proposed in this paper to address the problem of how to estimate the scale and orientation changes of the target under the mean shift tracking framework. In the original mean shift tracking algorithm, the position of the target can be well estimated, while the scale and orientation changes can not be adaptively estimated. Considering that the weight image derived from the target model and the candidate model can represent the possibility that a pixel belongs to the target, we show that the original mean shift tracking algorithm can be derived using the zeroth and the first order moments of the weight image. With the zeroth order moment and the Bhattacharyya coefficient between the target model and candidate model, a simple and effective method is proposed to estimate the scale of target. Then an approach, which utilizes the estimated area and the second order center moment, is proposed to adaptively e)

STL文件读取程序（Matlab）：可以将ASCII格式的STL文件中的数据点信息及网格拓扑信息读出，并显示在屏幕上(a MATLAB program which gets the name of an ASCII STL (Stereolithography) file from the user, reads the 3D graphics information stored in the file, and displays the structure on the screen. )

基于matlab的 脑部ct图像自动分割 自动分割出脑白质(Ct brain matlab-based Automatic Segmentation automatic segmentation of white matter)

说明：  shepp-logan的2D直接傅里叶反变换法(Shepp-logan 2-D Direct Fourier Inverse Transform Method)