Openimagefile

一个师兄编写的图像配准程序，其中sift代码匹配以及错误点检测值得参考学习。(A brother write image registration procedures, which sift code matches the reference point of error detection is worth learning.)

线性插值射线追踪法，设置模型为一三层模型，范围100m×100m(Linear interpolation ray tracing method, set the model for a three-tier model, the range 100m100m)

基于OpenCV实现的图像切割程序，通过程序中参数设置分块的数量和大小(The project is uesd to break an image into block)

snake算法的c源代码,一般snake算法可以用于图像的边缘检测,是一种比较新的方法(snake algorithm c source code, the general snake algorithm can be used to image edge detection, is a relatively new approach)

说明：  实现了图像的打开功能，并能实现图像打开时的扫描，渐进，马赛克等功能(To realize the image of the open function, and can achieve image scans open, progressive, mosaic and other functions)

VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)

说明：  使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors. SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified. SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided. )

基于小波的视频图像压缩研究进展 基于小波的视频图像压缩研究进展(Wavelet-based video image compression research progress)

基于肤色的图像分割，是用matlab实现的，希望大家有用(Image segmentation based on skin color is achieved with matlab, I hope it would be useful)

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)