interaction

说明：  这是关于matlaB图像处理方面基础程序语句大全，适合于初学者使用(This is based on the matlaB image processing program statement Guinness, suitable for beginners)

采用窗函数和最佳逼近法两种方法设计FIR滤波器(Using window function and the best approximation method were used to design FIR filter)

车牌检测与识别技术的相关技术： 提出一种梯度增强法对图像边缘进行增强, 该方法主要通过对图像本身信息进行简单梯度变换以突出图像边缘, 并辅以数学形态学中的膨胀法实现牌照的快速定位. 在字符分割部分, 给出了最小面积旋转法以确定牌照的最佳旋转角, 并采用垂直投影法分割牌照中的字符 (License plate detection and recognition technology related technologies: a gradient-enhanced method of image edge enhancement, the method of the image itself, mainly through a simple gradient transform information in order to highlight the image edge, supplemented by mathematical morphology in the expansion of law implementation License Express location. in the character segmentation part, give a minimum area of rotation method to determine the best rotation angle license and using the vertical projection of the character segmentation license)

说明：  采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本(Bayes classifier is the most classic! Minimize the classification error. With the matlab language, with examples)

针对无参考模糊图像质量评价算法NRSS的matlab实现，不需要参考图像即可实现图像质量评价。(For blur-free reference image quality assessment algorithm NRSS matlab implementation, without reference to the image to achieve image quality uation.)

数字图像处理的作业，通过matlab获取视差图(Digital image processing operations, disparity map obtained through matlab)

fft界面分析 能够实现海明窗，汉宁窗，平顶窗等分析数据数据 用matlab gui 界面实现(fft study)

这个函数用于多目标跟踪数据关联，结合了最近邻数据关联个CJPDA数据关联算法，每个目标分配最多一个量测(This function is used for multi-target tracking data association, combined with nearest neighbor data association a CJPDA data association algorithm, each target allocation up to a measurement)

数学建模中常用的方法：类比法、二分法、差分法、变分法、图论法、层次分析法、数据拟合法、回归分析法、数学规划（线性规划，非线性规划，整数规划，动态规划，目标规划）、机理分析、排队方法、对策方法、决策方法、模糊评判方法、时间序列方法、灰色理论方法、现代优化算法（禁忌搜索算法，模拟退火算法，遗传算法，神经网络）(Mathematical modeling methods commonly used: analog, Dichotomy, difference method, variational method, graph theory, analytic hierarchy process, data fitting, regression analysis, mathematical programming (linear programming, nonlinear programming, integer programming, dynamic programming, goal programming), mechanism analysis, queuing, countermeasure methods, decision-making methods, fuzzy uation method, time series method, gray theory, modern optimization algorithms (tabu search algorithm, simulated annealing algorithm, genetic algorithms, neural networks))

《人工神经网络导论》课程中的实验，实现奇偶校验的Matlab程序(BP算法)( Introduction to Artificial Neural Networks course of the experiment, to achieve parity of the Matlab program (BP algorithm))