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说明：  JPEG2000 的一个实现，期中，wavelet.dll是提供的功能接口。(An implementation of JPEG2000, period, wavelet.dll is to provide a functional interface.)

本程序实现功能： 1、微机、IBM工作站segy格式文件的a)变面积、b)波形、c)波形加变面积显示； 2、AGC自动均衡显示； 3、用任意多边形选择剖面数据并提取归一化能量、修改选取数据。 (This program function: 1, microcomputer, IBM workstations segy format file of a) become area, b) waveform, c) waveform and become area shows 2, AGC automatic equilibrium display 3, with arbitrary polygon choose profile and extracted data normalization energy, modify, select data.)

图像DFT，C语言编写的代码，附带几个另外的处理，(Image DFT, C language code, with some additional processing,)

多边形的合并算法，该算法能够实现任意两个多边形（包括凹多边形）的合并.( The polygon merge algorithm, this algorithm can realize wilfully two polygons (including concave polygon) merge )

双目立体匹配，使用SAD，SSD，NCC算法，比较多种常见算法的优劣，对其优化实现快速准确匹配。(Binocular stereo matching, the use of SAD, SSD, NCC algorithm, compare the merits of a variety of common algorithms, and its optimization to achieve fast and accurate matching)

基于加权最小二乘的滤波器。实现应用的例子。(weighted least square)

Choen-Sutherland算法裁剪线段 计算机图形学中使用Choen-Sutherland算法进行图形多边形裁剪，并用MFC实现(Choen-Sutherland )

佳能数码相机图像处理源码工具(EOS 350D, 20D, 1D等)(Canon digital camera image processing source tools (EOS 350D, 20D, 1D, etc.))

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

数字图像处理，对彩色图像的拉普拉斯算子锐化以及梯度算子锐化的比较，VC/MFC实现。(Digital image processing, color image of the Laplacian and the gradient operator sharpening sharpening comparison, VC/MFC implementation.)