TestFrm

这是一个简单的程序代码，主要针对hough变化(This is a simple program code, mainly for hough change)

本书可作为信息处理、计算机、机器人、人工智能、遥感图像处理、认知神经科学等有关专业的高年级学生或研究生的教学用书，也可供相关领域的研究工作者参考。(This book can be used as information processing, computer, robot, remote sensing image processing, artificial intelligence, cognitive neuroscience and related professional senior student or graduate student s teaching resources, also can be used for reference in the related areas of research workers.)

自己写的中值滤波剔野程序，用于信号野值剔除。很简单，其中算法可替换(Write your own wild tick median filtering program for the signal, excluding outliers. Very simple algorithm which can be replaced)

线性反投影算法（Linear Back Projection，简称 LBP）又称累加法，是最早使用的一种简单（ECT图像重建）成像算法。它将通过某点的所有投影射线进行累加，再反向估算出该点的密度值。从成像观点分析，它是不完全的雷登逆变换（完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤）。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)

很好的解析bmp图片的源代码，很不错的初学者的例子，换页大家下载(Very good analytical bmp image of the source code, it is a good example for beginners, for everyone to download page)

3D 点云建筑物分割代码3D 点云建筑物分割代码3D 点云建筑物分割代码(3D point cloud, buildign segmentation3D point cloud, buildign segmentation3D point cloud, buildign segmentation)

图像的复制剪切粘贴，Visual C++编程技巧精选，很好的参考资料。(Copy cut and paste image, Visual C++ programming skills selected, a good reference.)

在对话框中实现splitter(achieve splitter)

一种基于轮廓的步态识别文献，思路清晰便于实现(Based on the outline of gait recognition literature, to facilitate the achievement of clear thinking)

用visual C++开发的图像匹配与处理系统，包括图像处理与图像匹配算法，NCC,梯度强度相关，互信息匹配等(With visual C++ development of image matching and processing systems, including image processing and image matching algorithm, NCC, gradient strength related mutual information matching)