matlab-code

matlab常用函数集合,需要时方便查询(matlab collection of commonly used functions)

说明：  matlab使用ocx控件编程的例子 对于matlab编程者有很大帮助(matlab programming examples using ocx control Matlab programming for those who are very helpful)

解耦控制要求下的极点配置Matlab算法(Decoupling control requirements under the pole placement Matlab algorithm)

本文为用matlab编写的SIFT算法希望大家相互交流心得体会(This article was written by SIFT algorithm matlab hope we exchange feelings and experiences)

使用matlab编写的一个小flash，运行M文件即可看到雪花飘舞(Using Matlab prepared a small flash, running the M-file to see the snow flying)

Based on digital image processing，develop a simulation program for car plate character segmentation, which is required to have image input, image preprocessing, image segmentation and morphology filter functions.to obtain a good result for segmentation we must perform skew correction.

使用MATLAB，实现以下四个功能 一、获取图片RGB值：给定一张图片，获取点(x,y)，以及(x,y)周围8个点的R、G、B值。 二、实现rgb2gray函数：使用matlab实现rgb2gray的功能，并能计算出转换后灰度图片的方差。 三、灰度图对比度增强：分别使用灰度拉伸和直方图均衡化，增强给定图的对比度。 四、图像去噪：对给定图片加椒盐噪声，并选择两个去噪算法去除椒盐噪声。 (Using MATLAB, to achieve the following four functions First, access to image RGB value: Given a picture, get the point (x, y), and (x, y) around 8 o clock in the R, G, B values. Second, the realization rgb2gray function: using matlab realize rgb2gray functions, and can calculate the variance after the conversion of grayscale image. Third, the grayscale contrast enhancement: namely, the use of gray stretch and histogram equalization, contrast enhancement given graph. Fourth, the image denoising: for a given image add salt and pepper noise, and you know at least two denoising algorithm to remove salt and pepper noise. )

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.

关于支持向量机（SVM）的实现程序，很好的代码，希望对需要者有帮助。(the code about SVM.It will be helpfull for uers.)

一种声音合成的算法研究，可用Matlab方法验证(A sound synthesis algorithm used Matlab method validation)