Matlab

研 究了双目视觉测量系统的结构参数优化问题.对双目视觉测量的有效视场约束条件进行了数学 描述，建立了双目视觉坐标测量系统的数学模型.在考虑像点提取误差的条件下，利用误差理论建立了测量 误差模型，并基于待测量的视场范围要求，定义了测量系统结构参数的优化指标。最后，通过枚举法进行了 优化求解.(Studied binocular vision measurement system to optimize the structural parameters of the problem. For the effective measurement of binocular vision bound by the terms of field of view of mathematical description of the establishment of binocular vision coordinate measuring system mathematical model. In considering the error as the point of extraction conditions the use of error theory the establishment of measurement error model and measurement based on the field of view to be the scope of the requirements of the definition of the measurement system parameters to optimize the structure of indicators. Finally, the optimized enumeration method for solving.)

Matlab界面编程，对基本元件的使用和熟悉。 有文本详细说明，附带有代码。(Matlab programming interface, the basic use and familiar of the components. There are texts in detail, with code.)

这是一个用matlab编写的车牌识别代码，可以实现车牌的识别(This is a matlab prepared by the code of license plate recognition, license plate recognition can be achieved)

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论。(Draw the theoretical curve between input SNR and detection probability)

一阶导数的常用差分逼近 求解df的差分逼近 flag标记使用的差分算法 算法来自周超红的《一阶导数的差分逼近汇总》 可按照里边的算法构造更高阶的差分逼近(First derivative of the common difference approximation approach for solving differential df flag tag algorithm using the difference method from the week of super-red " first derivative of the difference approximation of summary" can be constructed in accordance with the algorithms inside the differential approximation of higher order)

MATLAB实现ELM算法，并附带UCI经典数据。(MATLAB realization ELM algorithm, along with the classic UCI data.)

说明：  hallo this is my program for matlab about segmontation image

为便于交流提高学术水平，我们应该提供一些免费的好的源代码(In order to facilitate the exchange to raise academic standards, we should provide some good free source code)

说明：  图像的几种锐化处理，包括sobel算子，roberts梯度法和laplace算子锐化。并且将四种图像放在一起形成对比。(Several image sharpening, including sobel operator, roberts gradient and laplace operator sharpening. And will contrast the four images together.)

各种有用的matlab apple实例程序(Useful MATLAB Apple instance of program)