FFST

本代码是做指纹识别是代码，平台是MATLAB，能够完成指纹识别、处理、匹配整个过程。(This code is to do fingerprint identification code, the platform is MATLAB, able to complete the fingerprint identification, processing, matching the whole process.)

实现相位相关图像配准,编译产生库文件，用于openCV平台。实现了相位相关图像的快速搜索和两幅图像之间的匹配(Implementation phase correlation image registration, create library files compiled for openCV platform. Achieve the rapid phase correlation image search and matching between two images)

双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)

vc++编写的鼠标键盘消息的拦截程序，运用钩子实现(vc++ prepared to intercept mouse messages keyboard procedures, the use of hook realize)

说明：  UNet最早发表在2015的MICCAI上，短短3年，引用量目前已经达到了4070，足以见得其影响力。而后成为大多做医疗影像语义分割任务的baseline，也启发了大量研究者去思考U型语义分割网络。而如今在自然影像理解方面，也有越来越多的语义分割和目标检测SOTA模型开始关注和使用U型结构，比如语义分割Discriminative Feature Network(DFN)(CVPR2018)，目标检测Feature Pyramid Networks for Object Detection(FPN)(CVPR 2017)等。(Its influence has reached 70% in 2015. Then it became the baseline that most of the medical image semantic segmentation tasks, and inspired a large number of researchers to think about the U-shaped semantic segmentation network. In the aspect of natural image understanding, more and more SOTA models of semantic segmentation and object detection begin to pay attention to and use U-shaped structure, such as semantic segmentation, discriminative feature network (DFN) (cvpr2018), feature pyramid networks for object detection (FPN) (CVPR 2017), etc.)

边缘图象分割程序，是使用vb编程，希望有帮助(edge image segmentation procedures, the use of vb programming, with the hope of helping)

机载线阵SAR三维成像，采用后向投影（BP）算法，成像效果比较理想。程序中有各切面的结果图，便于分析成像分辨率。(The airborne SAR three-dimensional imaging uses the back projection (BP) algorithm, and the imaging effect is satisfactory.)

说明：  非常经典的基于特征的影像匹配，亲测好用，推荐下载试试，基础但好用(Feature-based image matching)

基于matlab的图像配准原代码，适合各种格式的图像(Matlab-based image registration of the original code, a variety of formats suitable for image)

机载正侧视SAR雷达仿真和成像，使用matlab编写，直接运行可用(Simulation and imaging of airborne forward-looking SAR radar)