edge_erode

一种简易有效的CT图像三维重建方法。利用MATLAB软件编写，实现CT图像的面绘制。(A simple and effective method of three-dimensional reconstruction of the CT image. Using MATLAB software development, surface rendering of the CT image.)

基于silvaco平台 利用athena软件做的一款PN结二极管的二维图仿真(Based on silvaco platform using the officer software do a 2 d figure of the p-n junction diode simulation)

能完成基本二维条形码的识别，包含gui界面编程，可对较为清晰的拍摄二维条形码图像进行识别(To complete the basic two-dimensional bar code recognition, including the gui interface can be programmed to take on a more clear two-dimensional bar code image to identify)

说明：  基于贝叶斯(BAYES)阈值的小波(WAVELET)图像去噪算法源代码(Based on Bayesian (BAYES) threshold wavelet (WAVELET) image denoising algorithm source code)

说明：  应用于非线性电路中的混沌现象的MATLAB程序(Applied to non-linear circuit chaos in MATLAB programs)

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)

直接运行TestMyCrust.m, 读取点云txt,或者直接加载mat文件 运行需要几分钟，耐心等待 完成后运行trianglenormal.m, 生成三角面片的法向量 运行完成得到tri.txt（组成三角面片的点的编号信息）,trinormal.txt(每个三角面片法向量数值)，diandian.txt(每个点云信息) 然后将三个数据当做stl_gen.exe的输入文件，得到trisuface.stl文件(run TestMyCrust.m, read point cloud file txt, or load mat file)

说明：  Snake模型，也就是常说得Active Contour模型的MATLAB实现，其中还包含了原文献。(Snake model, which is often put Active Contour MATLAB model, it also includes the original literature.)

对高光谱图像进行目标检测，首先滤波处理然后降维，利用输出能量最小原则用于探测亚像元的小目标。(In target detection of hyperspectral images, first filter processing and then dimensionality reduction are used to detect sub-pixel small targets by using the principle of minimum output energy.)

根据教程自己写的对单目相机的标定，以及对一张镜像畸变图像的矫正，最后进行二维测距，根据像素值测得一条平面曲线的真实长度(According tutorials to write their own right monocular camera calibration, as well as a mirror image distortion correction, the final two-dimensional distance, measured according to the pixel values ​ ​ of the true length of a plane curve)