105230290deblur_code_1_2

说明：  VC++功能较多的图像处理程序，实现的功能有：图像变换 图像配准 图像分割、图像编码、图像增强、图像复原、图像特征码提娶图像识别、运动检测、图像显示等，特别是源码里面的一些VC的图像处理类，你可以用到你自己的程序中。(VC ++ image processing program with more functions. The functions implemented are: image transformation, image registration, image segmentation, image encoding, image enhancement, image restoration, image feature code, image recognition, motion detection, image display, etc. Some of the VC image processing classes, you can use it in your own programs.)

ASM和AAM功能的合集，是一个外国人开发的工具箱，需要addpath，已试过可用，(ASM and AAM function of the collection is a foreigner development toolbox need the addpath, have tried available)

说明：  针对弱小目标信号提出的RXD异常检测算法，实现对目标的检测(A RXD anomaly detection algorithm for dim and small target signals is proposed to realize target detection.)

针对散焦模糊图像，用matlab实现了先基于倒谱相关性对PSF的参数估计，再用维纳滤波实现复原的算法。(Defocus blurred image using matlab first estimated based on the parameters of the cepstrum on PSF, and then the Wiener filter recovery algorithm.)

说明：  用c语言实现一些简单的图像处理功能，如灰度化、旋转、拷贝等(Some simple image processing functions, such as gray scale, rotation, copy, etc., are implemented in C language.)

图像分割中的分水岭算法实现--图像灰度变化--图像增强--多维图像(Watershed image segmentation algorithm image change image enhancement multi-dimensional image)

基于双边滤波算法对原始图像进行增强，输入文件要求是ppm(image enhancement through recursive_bilateral_filtering)

简单图像颜色特征提取，用于自己使用，基本常规的那种(Simple Image Color Feature Extraction)

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.)

k均值用于图像分割，对于相同颜色但深度不一样可以分割。(k-means for image segmentation, the same color depth can be split.)