Shadow-removle

说明：  matlab_数字图像处理源程序,学习之需要(matlab )

基于IMM多模型结构的带自适应渐消因子及衰减因子的无忌卡尔曼滤波器。 适用于非线性、模型不准确、噪声不确定情况下滤波(IMM multi-band adaptive model structure based on fading factor and the attenuation factor of the wild and the Kalman filter. Applies to non-linear model is not accurate, noise filtering uncertainty)

JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and --- subject to certain very reasonable constraints --- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time / frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. (JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for certain specialized tasks. These have been collected together and made publicly available for you to use, modify, and--- subject to certain very reasonable constraints--- to redistribute. Some of the highlights are: a suite of functions for the rapid manipulation of multi-component, potentially multi-dimensional datasets a systematic way of dealing with datasets having components of non-uniform length tools for fine-tuning figures using compact, straightforward statements and specialized functions for spectral and time/frequency analysis, including advanced wavelet algorithms developed by myself and collaborators. )

1、概述 2、Simulink入门 3、Simulink功能模块 4、创建Simulink模型 5、Simulink 仿真运行 6、Simulink中的S函数 7、自定义模块的模块化与封装(1 Overview 2, Simulink entry 3, Simulink function module 4, create Simulink model 5, Simulink simulation run 6, Simulink S-function in the 7, modular and custom module package)

边缘是图像最基本的特征，是图像分割的第一步。经典的边缘检测方法如：Roberts，Sobel，Prewitt，Kirsch，Laplace等方法，基本都是对原始图像中象素的小邻域构造边缘检测算子，进行一阶微分或二阶微分运算，求得梯度最大值或二阶导数的过零点，最后选取适当的阀值提取边界。由于这些算法涉及梯度的运算，因此均存在对噪声敏感、计算量大等缺点。在实践中，发现SUSAN算法只基于对周边象素的灰度比较，完全不涉及梯度的运算，因此其抗噪声能力很强，运算量也比较小。并将SUSAN算法用于多类图像的边缘检测中，实验证明该算法非常适合含噪图像的边缘检测。 2 SUSAN边缘检测简介 (err)

邻域平均法滤波 原图像画面清晰，添加勒椒盐噪声后图像上产生勒明显的黑色斑点（噪声），用不同模板的平滑滤波处理后图像上的噪声消失，但是图像变得模糊，并且，使用的模板越大，对图像的去噪效果越好，同时图像也变得越模糊。 (Neighborhood averaging filter clear picture of the original image, add the Le Salt and pepper noise generated after the image Roming noticeable black spots (noise), smoothing with different template processed image noise disappear, but the images become blurred, and the use of template bigger the better the image de-noising the same time, the image becomes more blurred.)

数值计算中的特征值、特征向量计算，采用matlab代码(eigenvalue computation)

2DFDTD TM波模拟仿真，采用CPML边界条件(2DFDTD TM wave simulation, the boundary conditions used CPML)

是基于的Robot Soccer v1.5a控制源码(Is based on the control of the Robot Soccer v1.5a source)

蓝牙通信系统仿真设计和代码，分为四部分： 信号传输部分，信号接收部分，谱分析显示部分，误码分析部分(Bluetooth communication system simulation design and code, divided into four parts: part of the signal transmission, signal receiving part, spectral analysis shows that part of the error analysis section)