SIFT_wonderful

说明：  基于retinex理论的图象增强处理，一种新型的算法，效果挺好(Image enhancement based on Retinex theory, a new algorithm, has a good effect)

MATLAB程序附图像,利用灰度AGV对路径进行识别,,(MATLAB image attached, using gray AGV right path for identification,,)

opencv,图像处理，关于物体粘连问题的检测，基于凹性分析的分割方法(opencv, image processing, object sticking problem on detection, segmentation method based on analysis of the recess)

目标跟踪程序,使用matlab编写,采用CV模型,卡尔曼跟踪,有轨迹模拟,给出了跟踪的误差 目标跟踪,采用CV模型,卡尔曼滤波,给出模拟结果和跟踪结果,给出误差分析(Target tracking program, using matlab prepared, using the CV model, Kalman tracking, trajectory simulations have given a tracking error target tracking, using the CV model, Kalman filter, and track the results of the simulation results are given, error analysis is given)

关于运动目标检测基础算法，混光流法合高斯模型、均值法、及帧间差分法(Moving target detection algorithm based on mixed Gaussian model optical flow together, mean method, and the inter-frame difference method)

在Contourlet变换的基础上发展而来的非下采样Contourlet变换，可以得到图像变换之后的平移不变性。(In Contourlet Transform evolved on the basis of non-sampling Contourlet transform, the image can be transformed after the translation invariance.)

有效地MR图像重建算法，主要用于在MR图像的成像过程中对图像进行压缩(Efficient MR Image Reconstruction for Compressed MR Imaging)

使用KINECT获取深度图像的源码，在vs平台下使用C++编写。(Use KINECT obtain depth image source, written using C++ in vs internet.)

医学图像分割和偏移场矫正方法的matlab代码(the matlab code for medical image segmentation and bias correction)

说明：  本程序提出了变步长自适应滤波算法的步长调整原则:即在初始收敛阶段或未知系统参数发生变化时,步长应比较大,以便有较快的收 敛速度和对时变系统的跟踪速度 而在算法收敛后,不管主输入端干扰信号v ( n) 有多大,都应保持很小的调整步长以达到很小的稳态失调噪声. 根据变步长公式编的程序，很有参考价值. (This procedure, a variable step adaptive filter algorithm step adjustment principle: that in the initial convergence phase or unknown system parameters change, the steps should be relatively large in order to have fast convergence speed and time-varying systems tracking speed in convergence, no matter the main input interference signal v (n) how much should be adjusted to maintain a small step to achieve a small steady state misadjustment noise. compiled according to the formula variable step procedure useful reference.)