tif2raw

说明：  face recognition example for learning

通过图像处理技术实现对眼睛中的细微血管的提取，并进行强度变换，使效果更好。(Through the realization of extraction of slight blood vessels in the eye image processing technology, and intensity transformation, so that the effect is better.)

这是用C++实现图像立体匹配的一个完整的论文代码，主要特性是提出了一种全新的跨规模代价聚合方法，适合对于图像的立体匹配有一定基础的人学习(Cross-Scale Cost Aggregation for Stereo Matching)

RANSAC算法是一种经典的去外点方法，它可以利用特征点集的内在约束关系来去除错误的匹配。(RANSAC algorithm is a classic way to go outside the points, it can take advantage of the inherent characteristics of point sets constraints to remove false matches. )

DISKREET: FOR CHANGING DISKREET LEVEL OF AN IMAGE

说明：  图像处理-人脸识别技术：识别出图像中人物的五官形态，从而达到识别人脸的目的。(Image Processing-Face Recognition Technology)

说明：  通过多尺度分解，实现医学图像的图像融合，达到更好的效果(Through multi-scale decomposition, medical image fusion can be achieved to achieve better results.)

一个基于DFT的水印算法源码；其中有嵌入，提取，测试图片；还有攻击程序，可以用来测试(DFT-based Watermarking Algorithm source including embedding, extraction, testing picture there are attacks on the procedures that can be used to test)

初步的代码，只保存边界的声波逆时偏移 RTM

利用基于直方图的自适应阈值方法实现分割前景与背景(Segmentation of foreground and background using histogram-based adaptive threshold method)