image-matching

小球沿斜线运动,可以扩展到其他程序中，第一次上传，谢谢。(a ball along with a line.)

很详细的Harris算法讲解~~~包括非最大值抑制的算法~自适应~~(Harris algorithm is very detailed explanation ~ ~ ~ including non-maximum suppression algorithm ~)

设置位置断点跟踪程序，VC++精选编程源码，很好的参考资料。(Set breakpoint location tracking procedures, VC++ programming source code, a good reference.)

实现运动模糊图像的非盲卷积 分区域去模糊 有用(Implementation of motion blurred image blind deconvolution is useful to fuzzy areas)

说明：  可以实现旋转，错切，各种投影图，透视图。是学习三维变换很好的原始参考资料(Can rotate, shear, a variety of projection, perspective. Is to learn the original three-dimensional transform good reference)

这是一个视频图像处理的程序，通过混合高斯分布来建立背景模型，并且提取了运动目标，效果不错！(mixture of gaussians)

此程序实现matlab GUI上的图像处理，包括图像加噪（高斯，椒盐等），以及图像均衡、二值，以及多种锐化方法，图像亮度调节，另外还有图像保存、对比功能。(This procedure on matlab GUI image processing, including image plus noise (Gaussian, salt and pepper, etc.), and a graphic equalizer, two values, as well as a variety of sharpening method, image brightness adjustment, in addition to save the image, the contrast function.)

利用梯度插值算法实现图像的去马赛克，图像质量大大提高(Using gradient interpolation algorithm to achieve image mosaic, image quality is greatly improved)

说明：  基于GEE平台的Landsat5 SR影像去云及NDVI计算(Landsat5 SR image cloud removal and NDVI computing based on GEE platform)

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.)