图像处理程序

本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。 main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。(The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions. main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method. )

本例演示：1、画两个同心圆，其中一个半径由独立输入宗量定义，另一个由变长度输入宗量的第一个元素定义，可以用任何指定的色彩线形绘制；2、变长度输入输出宗量在程序中的构成和使用；3、变长度输入输出宗量的对外使用表现(the cases demonstrated : a painting of two concentric circles, with a radius of independent input variables defined Another variable length from the importation of the first cases of an element of the definition, can be used in any linear color rendering; 2. Variable length input and output variables in the process of composition and use; 3, variable length input and output variables in the external use of performance)

先把图形改为.bmp形式，用matlab编程的-First graphics changed. Bmp format, using matlab programming

本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。( This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura)

Simulation model of solar energy system used in modelling of renewable hybrid energy power system

多分类问题的支持向量机源程序一对一方法 绝对可以运行(Multi-class SVM using One-Against-One decompositionoao)

for canny edge detection using matlab.

适用于竖直放置的平面矩形阵的自适应波束形成(For flat rectangular array of vertically placed Adaptive Beamforming)

WTWPTour function in wavelet processing

基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵，粗糙度A1， 惯性矩A2，纹理熵A3，相关度A4，方差A5，逆差矩阵A6(extract texture)