Hilditch

合成孔径雷达图像目标检测资料，很有用的哦(Target detection in correlated SAR clutter)

用奇异值分解的方法实现图像的去噪，并且与其他的方法进行比较，较之其他的方法有了明显的提升(To eliminate the noise from signals and compared to others mothods，an depressing effect is gotten)

说明：  fluent udf dpm particle diamter

一些常见的图像处理方面的图像（尺寸不一）(Some common image processing aspects (different sizes))

针对于三架飞机进行的异常检测的基础算法 RX异常检测(RX Anomaly Detection algorithm for anomaly detection based on three of the aircraft)

说明：  用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

基于颜色特征的图像检索系统，，做 了GUI节目，直观(Color-based Image Retrieval System, made a GUI program, intuitive)

MTF计算程序，图像源需为倾斜边缘，能快速计算不同倾斜边缘的MTF曲线。(MTF calculation procedure，Sequence image source need for inclined edge，Can quickly calculating different inclined edge of MTF curve. )

说明：  裁剪图像为固定大小，非常简单，只需要设定图像裁剪起始位置以及图像裁剪大小即可，非常方便。(It is very simple to crop the image to a fixed size. It is very convenient to set the starting position and size of the image clipping)