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说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

Visual C++ 6.0，基于opencv，MFC框架下开发，一个具有视频交互功能的桌面程序，功能类似于例程“Computer Vision Virtual Buttons”，能够实现基于视频交互的虚拟按钮的触发，(Visual C++ 6.0, based on opencv, MFC framework of development, a video interactive features of desktop applications, functions similar to the routine " Computer Vision Virtual Buttons" , to video-based interactive virtual button, trigger,)

包括一片英文文献及其所对应的代码实现，主要功能是实现对运动模糊图像的复原。(Including an English literature and its corresponding code, the main function is to achieve restoration of motion blurred images.)

matlab检测直线交点源程序在matlab6,5下已调试通过 不错的(Matlab detection line intersect point source in matlab6, have been debug through good under 5)

说明：  读图然后根据图像的对象，进行边缘检测，椭圆拟合(Read the image and then carry out edge detection and ellipse fitting according to the object of the image)

可以对点云添加噪声，对从网站上下载的标准点云研究提供基础数据，比如研究去噪方法，可通过添加噪声形成基础数据(You can add noise to the point cloud to the standard point cloud research downloaded from the website to provide basic data, such as research de-noising method can form the basis of the data by adding noise)

matlab开发的一些关于基于GVF的图像分割算法，(matlab developed some of the GVF-based image segmentation algorithm,)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

基于NCC（归一化互相关）的图像配准算法(NCC (normalized cross-correlation), image registration algorithm)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)