Fast-Copy-Move-Detection

说明：  极化SAR图像的去噪和分解，Lee滤波和精致Lee滤波，Freeman分解·和·H/A分解(Denoising and decomposition of polarimetric SAR image)

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.)

图像分割，包括阈值分割Otsu法，边缘检测包括Roberts算子，Canny算子等，边界跟踪包括Bwtraceboundary函数调用来对图像进行分割等(Image segmentation, including threshold segmentation method of Otsu edge detection, including Roberts operator, Canny operator, edge tracking includes Bwtraceboundary function calls to the segmentation of the image)

对遥感图像进行无监督分类，形成决策树，实现地物的标定(Unsupervised classification of remote sensing images to form a decision tree, the calibration of surface features)

说明：  SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

在idl环境下批量处理提取modis ndvi数据(the program can extract the ndvi data from modis ndvi product)

说明：  本代码总结了信息熵、条件信息熵、PSNR、SSIM等图像评价指标(This code summarizes information entropy, conditional information entropy, PSNR, SSIM and other image evaluation indexes)

图像清晰度测量的算法,算法基础,易懂,适合初次接触图象清晰度的人入门用(Image sharpness measurement algorithm based on, easy to understand for the initial contact with the image clarity of a person entry with)

对普通的粒子滤波和一种改进的粒子滤波算法进行比较，证明改进算法优越性(Of ordinary particle filter and an improved particle filter for comparison, to prove the superiority of improved algorithm)

由于彩色图像提供了比灰度图像更为丰富的信息, 因此彩色图像处理正受到人们越来越多的关注。彩色图像分割是彩色图像处理的重要问题, 彩色图像分割可以看成是灰度图像分割技术在各种颜色空间上的应用, 为了使该领域的研究人员对当前各种彩色图像分割方法有较全面的了解, 因此对各种彩色图像分割方法进行了系统论述, 即先对各种颜色空间进行简单介绍, 然后对直方图阈值法、特征空间聚类、基于区域的方法、边缘检测、模糊方法、神经元网络、基于物理模型方法等主要的彩色图像分割技术进行综述, 并比较了它们的优缺点, 通过比较发现模糊技术由于能很好地表达和处理不确定性问题, 因此在彩色图像分割领域会有更广阔的应用前景。(colorful image segment)