reli-gongsi--kaifa-xuqiushuo

基于主动学习的高光谱遥感图像分类，主动学习方法也比较流行，新颖。(An Active Learning Approach toHyperspectral Data Classification)

用粒子滤波器实现的多运动员跟踪，包含了data文件(Using Particle Filters athletes realize the multi-tracking, contains a data file)

介绍CEGUI中所给的例子的的文档，很详细.(Introduce the samples in the CECUI,very detailed!)

Historgram equilization, One Image to be added to the program for equilizzation.

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

实现图像的均衡化，步骤很清楚，程序很优化，利于初学者学习使用。(accomplish picture processing)

MRF分割程序，C++编写，进行图像分割处理，帮助熟悉分割过程及能量最优求解(markov image segmentation, energy interation algorithm)

利用curvelet波将不同聚焦图像进行分解，然后利用局部能量最大的方法将图像合成，得到清晰的图像、(Curvelet waves using different focus image decomposition, and then make use of local energy will be the largest image synthesis methods have been given clear images,)

有关三维模型的泊松算法的诸多应用的实现，包括泊松重建和泊松纹理混合算法，由原作者开发，非常可靠(C++ implementation for algorithms including poisson mesh and poisson texture stitching, it is shared by author with wide utilization)

说明：  包含MATLAB GUI设计入门，涵盖的主要内容有MATLAB入门与提高、常用文件操作、MATLAB弹出窗口定义、 Figure图形句柄获取、GUI界面按钮功能介绍及GUI工具栏编辑器，MATLAB GUI设计实战，涵盖的主要内容有GUI常用功能介绍(Introduction to MATLAB GUI design, the main contents covered include MATLAB introduction and improvement, common file operations, definition of MATLAB pop-up windows, Figure graphic handle acquisition, introduction of GUI interface button functions and GUI toolbar editor, MATLAB GUI design combat, covering the main content There are GUI common functions introduced)