opencv249SIFT

说明：  基于边缘特征的SAR图像与光学图像匹配，测度为Hausdorff距离(SAR images based on edge features and optical image matching, for the Hausdorff distance measure )

图像相似性检测的PPT，比较全面的总结，对主要用到的特征提取和特征匹配算法都有基本的介绍。(Image similarity detection of PPT, a more comprehensive summary of the main use of the feature extraction and feature matching algorithm has the basic The introduction.)

阴影检测,基于OpenCV用于对图像中阴影的检测(Shadow detection, OpenCV for image shadow detection)

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

说明：  SAR-CS成像算法实现，包含运动补偿，速度估计，对0.15m实测数据成过像(SAR-CS imaging algorithms, including motion compensation, the estimated speed of 0.15m measured data into a cross as)

指纹识别demo 演示方向图、roc曲线(fingerprint demo show orientation and ROC curve)

说明：  多边形裁剪是逐次多边裁剪法，它的基本思想是以窗口的四条边界线单一逐次对多边形裁剪(polygon clipping is Successive multilateral cutting, its basic idea is a window four successive boundaries of a single polygon clipping)

图像增强，包括图像的平滑、锐化、边缘识别等操作(Image enhancement, including image smoothing, sharpening, edge detection and other operations)

采取逆滤波和维纳滤波两种图像恢复算法对退化图像的恢复实现过程。 (taken inverse filter and two Wiener filtering algorithm to image restoration of degraded images to achieve the restoration process.)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)