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cootes提出的ASM算法的matlab实现。在cootes用于课堂使用的源代码的基础上改写。改正了原来代码中的一些错误，加入了方便使用的样本训练标注保存环节。供图像分析处理，模式识别，人工智能研究者使用。-the ASM Algorithm Implementation of Matlab. Cootes used in the classroom use of the source code on the basis rewritten. To correct the original s
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这是图象处理模式识别一书的源代码，包括C++和MATLAB的程序，对于做这方面的研究人员来说，会很有帮助的。-This is an image processing pattern recognition on the source code, including C and Matlab procedures for doing this kind of research personnel, will be very helpful.
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本文件用来实现基于图像处理和模式识别的采用matlab语言编写的的车牌识别程序-This file is used to realize image processing and pattern recognition based on the use of written matlab license plate recognition program
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根据神经网络的算法对三幅训练图像和测试图像进行识别。-According to neural network training algorithm for three test images and image recognition.
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图象 处 理和模式识别中经常根据物体的形状来识别物
体或对物体进行分类。形状特征可以分为区域特征和边界特
征两大类，矩不变量是最基本的形状特征。Hu提出的矩不变
量是图象区域内部细节的描述，是一种区域特征。它是建立
在对一个区域内部灰度值的统计分析基础上的，需要目标区
域的所有象素参与运算-Image processing and pattern recognition are often based on the shape of objects to identify o
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1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
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popfnn神经网络，它是一种模糊伪输出的神经网络(pseudo-outer-production fuzzy nerual network).可用于模式识别。运行pop1可以训练输入的特征向量，extractionpop使用来抽取图片的特征向量的。-popfnn neural network, it is a pseudo-output fuzzy neural network (pseudo-outer-production fuzzy nerual network). can be use
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在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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Euclidean Distance Transform has been widely studied in computational geometry, image processing, computer graphics and pattern recognition. Euclidean distance has been computed through different algorithms like parallel, linear time algorithms etc.
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pattern recognition , simple to find the pattren in input image
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这是一个关于图像识别的程序，可以根据图像中的某些点，识别出图像的形状-This is a program on the image recognition, according to some point in the image, identify the shape of the image
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this code for character recognition.this code can recognize an image with array matrix of [3x3]. this code apply a neural network method.-this is code for character recognition.this code can recognize an image with array matrix of [3x3]. this code ap
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只需输入车辆图片，即可实现包括车牌检测、车牌定位、车牌字符分割、车牌字符识别的全流程图形化演示，非常形象！拥有完整matlab源代码，是学习模式识别的高贵编程参考。-Just enter the vehicle picture, you can achieve, including license plate detection, license plate location, license plate character segmentation, the whole process of
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图形识别，基于Hopfield神经网络的联想记忆——数字识别MATLAB程序，有详细注释。-Based on Hopfield neural network pattern recognition, associative memory- digit recognition MATLAB procedures, with detailed comments.
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RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。-RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability,
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进行波形数据分析,本程序的性能已经达到较高水平，抑制载波型差分相位调制，Relief计算分类权重，对于初学matlab的同学会有帮助，可以实现模式识别领域的数据的分类及回归，通过matlab代码，仿真图是速度、距离、幅度三维图像。- Waveform data analysis, The performance of the program has reached a high level, Suppressed carrier type differential phase modulatio
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Pisarenko谐波分解算法,可以实现模式识别领域的数据的分类及回归，利用matlab针对图像进行马氏距离计算 。- Pisarenko harmonic decomposition algorithm, You can achieve data classification and regression pattern recognition, Using matlab to calculate the Mahalanobis distance for the image.
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BP神经网络用于函数拟合与模式识别，图像的光流法计算的matlab程序,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, Image optical flow calculation matlab program, Raya Punuo Fu index using the formula.
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BP neural network function fitting and pattern recognition, Convolution operation is intended to signal and image rendering, Modern signal processing used in the spectral estimation in matlab.
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RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and
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