Lesson-2

Matlab code to reconstruct using simple back projection

matlab edge preserving filter

该文件中包含了详细的matlab实现的源代码，很适合初学者入门。代码的运行环境有要求： 1. 软件环境 需要安装暴风影音才能正常播放.WMV文件； MATLAB R2011b 版本的软件。 2. 硬件环境 处理器：CPU主频不低于1GHz； 内存：不小于256MB； 硬盘：不小于10GB； 显示器：支持1024*768分辨率。(The file contains a detailed matlab realize the source code, it is suitable for beginners. Operating environment code required: 1 Software Environment         STORM need to be installed in order to play properly .WMV file         MATLAB R2011b version of the software.     2 hardware environment         Processor: CPU clock speed of not less than 1GHz         Memory: not less than 256MB         Hard disk: not less than 10GB         Display: 1024* 768 resolution.)

matlab编写的边缘检测程序，可以准确识别出图像的边缘。(edge detect)

this will perform thresholding operation on input image

经济学的数值方法 配套例题以及习题答案的有关牛顿法 最速下降优化的部分。(Newtown methods)

此程序能在MATLAB上实现低通滤波器，功能很强大(That this procedure can in MATLAB to achieve low-pass filter, a very powerful feature)

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 2章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions.)

图像分割技术 边缘分割技术 阈值分割技术 matlab代码(Image Segmentation Edge Segmentation Thresholding techniques matlabcode)

卡尔曼滤波器是一个对动态系统的状态序列进行线性最小误差估计的算法，一般用于线性系统。一般在运动跟踪领域中摄像机相对于目标物体运动有时属于非线性系统，但由于在一般运动跟踪问题中图像采集时间间隔较短，可近似将单位时间内目标在图像中的运动看作匀速运动，采用卡尔曼滤波器可以实现对目标运动参数的估计。(Kalman filter is a state sequence of linear dynamic systems smallest error estimation algorithm for linear systems in general. Usually in the field of motion tracking camera motion with respect to the target object may belong to nonlinear systems, but in general due to motion tracking problems shorter image acquisition time interval, a unit of time can be approximated to the target motion in the image is regarded as uniform motion, Kalman filter can achieve the target motion parameter estimation.)