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说明：  双目视觉导航的文章，介绍了CCD标定，图像匹配，三维重建等关键技术(TE PLEASE DOWNLOAD IT )

该代码用于对错误匹配点进行过滤操作，即去除错误的匹配点(The code is used to remove the wrong match points,and make sure the right matching.)

边缘检测，并分割，以不同颜色标示。站内有其matlab实现，这是对应的c++代码。(Edge detection and segmentation, marked with different colors. Inside the station are the matlab realize, This is corresponding c++ code.)

图像质量评价，计算两幅图像的保真性，鲁棒性 ，结构相似性 (Image quality assessment，calculate the fidelity ，robust and structural similarity of the image，)

双目相机的三维重建程序，包含两个相机的标定，极线校正，图像匹配，三维重建(Binocular camera reconstruction program, including calibration of the two cameras, pole line correction, image matching, 3D reconstruction)

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)

本文针对目前图像特效处理的需求，主要研究几种基本的数字图像处理算法，以达到人们所期待得到的各种不同的效果。并在基于Windows系统的Visual C++6.0集成开发环境下，生成BMP位图文件并对其进行读取，使用VC编码实现这些算法。编写程序在BMP位图文件中画出各种图像，例如：三角型，圆，正弦函数图。在点运算处理中介绍了灰度化处理，算法设计原理是将输入像素点的灰度值通过算法实现改变其相应输出点的灰度值。在图像增强中，介绍了图形的平滑和图像的锐化算法，其算法的设计原理是根据一个固定小区域的几个像素灰度值设置某个像素的灰度值，通常有其固定模板。 本文具体给出了这些算法的设计思想及算法描述，并通过程序实现。最后将其效果图与原始图像进行了比较。 (In this paper, the image effects to deal with the current demand for basic research in several digital image processing algorithms in order to achieve what people expect different result. And Windows-based system, Visual C++6.0 integrated development environment to generate BMP bitmap file and read them using VC coding to implement these algorithms. Write a program to draw a variety of graphics in BMP bitmap file, example: triangle, circle, sine function diagram. Point arithmetic processing grayscale processing, algorithm design principle is the value of the input pixel gray value of the corresponding output point algorithm change. Enhancement of the image on the smooth graphics and image sharpening algorithm. The design principle of the algorithm is based on a fixed number of small regions of a pixel value of gray-scale pixel value, usually a fixed template. In this paper, given the specific design of these algorithms and the algorithm description, and program . Finally, the effect o)

任务：用BFS或是DFS对图进行搜索，实现任何拓扑不连通的块的计算，算法要求写在CBFSSearch类中 工程名：Project_BFS 要求：对于生成的任意拓扑，求出其分枝个数，并输出每个分枝的节点 (Task: Using BFS or DFS for searching the graph to achieve any topology unconnected blocks calculation algorithm requires written in CBFSSearch class project name: Project_BFS Requirements: for generating arbitrary topology, find the number of its branches, and output node of each branch)

本人开发的火焰识别程序，包括otsu自适应阈值，canny边缘检测，形态学膨胀、腐蚀操作，尖角判别，圆形度计算。在vc下编译通过。(development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circular calculation. Under the vc compile.)

基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域： （1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究； （2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合； （3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等； （4）计算机视觉，可用于目标定位、自动质量控制等； （5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。 本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)