现菲涅耳数字全息的方里面包括同轴和离轴

光流法实时实现的文献及代码，2012发表于cvpr，200*200的图像，每秒可达200帧，2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow(Optical flow method to achieve real-time literature and code, 2012 published in cvpr, 200* 200 images per second, up to 200, 2012_CVPR_Lip-motion events analysis and lip segmentation using optical flow)

C# 百叶窗效果 实例

滑动聚束FMCW_SAR的子孔径成像算法Spotlight FMCW_SAR sliding sub-aperture algorithm(Spotlight FMCW_SAR sliding sub-aperture algorithm)

总变分正则化超分辨率重建 包括两种范数形式的正则化(Total Variation Regularized super-resolution reconstruction, including two-norm in the form of regularization)

可以进行背景减除法-三帧法-高斯背景建模法运动检测( This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. )

最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议(latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference)

说明：  该课题为基于MATLAB的汽车出入库识别系统，带有丰富的人机交互GUI界面。目前毕业设计选题中，传统的中规中矩的车牌识别不易得到高分，必须要在此基础上有所创新方得可以避开其他雷同课题，不会轻易被导师被否决而导致毕设不过。因此建议在车牌识别基础上加入多种方法的对比，看看哪种方法的精度高。虽然目前有很多方法的车牌识别，但是都是在各自的测试库里面测试的，比如测试的车牌图像不同，字符库不同，导致无法做对比。整个设计在一个GUI界面上完成。(This project is based on MATLAB vehicle in and out of the warehouse identification system, with rich human-computer interaction GUI interface. At present, in the topic selection of graduation project, the traditional regular license plate recognition is not easy to get high scores, so it is necessary to innovate on this basis to avoid other similar topics, and it will not be rejected easily by the tutor, leading to the failure of graduation project. Therefore, it is suggested to add a variety of methods on the basis of license plate recognition to see which method has high accuracy. Although there are many methods of license plate recognition, they are tested in their own test library, for example, the test license plate image is different, the character library is different, so it can not be compared. The whole design is completed on a GUI interface.)

hessian矩阵在图像处理中的应用。根据图像所得函数，建立相应的hessian矩阵(hessian matrix in image processing applications. The resulting function according to the image, to establish the corresponding hessian matrix)

用VC编写的一个图像处理的程序：它可以实现图像的增强，包括：图像的平滑、中值滤波、梯度锐化、拉普拉斯锐化和伪彩色编码(VC prepared by an image processing procedures : it can enhance the images, including : image smoothing, Median filtering, sharpening gradient, Laplacian sharpening and pseudo-color coding)

说明：  灰度图像异或加密，函数需要输入一个要加密的图片，图片的灰阶以及一个伪随机比特流(Gray image XOR encryption, the function needs to input a picture to be encrypted, the gray scale of the picture and a pseudo-random bit stream)