imageCorrectForm

该程序是一个用IDL将多个图形绘制在同一个窗口中的实例程序，对初学者很有用(This program is a idl program which plot multiple image in the same window, It is important to new study.)

一个老外写的车削数控仿真程序，有g代码编辑的(a foreigner was turning the NC simulation program, code editors g)

基于RANDON变换的Shepp Logan人头骨模型重建仿真，希望能对学图像重建或医学图像处理的同志有所帮助(Based on RANDON transform people Shepp Logan skull reconstruction simulation model, hoping to image reconstruction for school or medical image processing comrades help)

本程序是用于三维图像的，三维重建，非常有用(This procedure is used for three-dimensional images, three-dimensional reconstruction, a very useful)

这是一个基于二维的2D组合交互程序，可以随意加到自己相关程序中(This is a combination of 2D interactive program based on a two-dimensional, can be freely added to their program)

jpeg matlab toolbox jpeg 编解码matlab实现,做试验用,很好的 不错(Jpeg matlab toolbox jpeg decoding matlab, making a test to use, good good)

用MATLAB编写的蚁群算法最短路径寻找程序，压缩包内包含了网络结点坐标。(The preparation of the ant colony algorithm using MATLAB to find the shortest path procedure, compressed package that contains a network node coordinates.)

说明：  本方法采用pca进行特征提取，knn分类器进行人脸识别。(The method of feature extraction using pca, knn classifier for face recognition.)

说明：  这是一个用vc编写的简单的图形查看器程序，它可以用来实现图形查看的功能，好用哦(vc)

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)