adaptiveFilter

The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. We also provide results on a number of standard motion sequences.

Computer vision experiments 4- to step in the preparation of cany use of edge detection operator used to compare the Matlab

matlab版本的数字信号处理，适合初学的人。(matlab version of the digital signal processing, suitable for beginners person.)

产生1D或者2D高斯分布的粗糙表面的matlab程序(generation rough surface)

股票线性回归预测分析，利用svm线性回归算法分析预测，适合svm初学者(Stock Linear Regression Forecast Analysis)

说明：  基于主动轮廓模型的虹膜图像定位算法研究及其matlab实现(Iris recognization, Matlab, based on snake,actice countours)

说明：  这是对于矩阵分解里面，最新出现的一种新的算法：非负矩阵分解的程序(This is the decomposition of the matrix inside, emerging a new algorithm: the procedure of non-negative matrix factorization)

Visual Cryptography is based on cryptography where n images are encoded in a way that only the human visual system can decrypt the hidden message without any cryptographic computations when all shares are stacked together. This paper presents an improved algorithm based on Chang’s and Yu visual cryptography scheme for hiding a colored image into multiple colored cover images. This scheme achieves lossless recovery and reduces the noise in the cover images without adding any computational complexity.

基于matlab的模糊免疫PID控制，本代码对一阶惯性带延迟环节的传递函数进行整定(Based on the fuzzy immune PID control matlab)

利用小波变换极大值，重建源信号。包含主程序和三段子功能函数，使用小波变换进行六级分解，求出模极大值，并利用这些极大值重建源信号。(Using the wavelet transform maximum and reconstruction of source signals.Contains the main program and three jokes functions, six levels of decomposition using the wavelet transform and modulus maxima, and take advantage of these great value reconstruction of source signals.)