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Matlab在图像处理与目标识别方面的应用实验程序示例。包括三个程序以及详细文档：一、染色体识别与统计，二、汽车牌照定位与字符识别，三、基于BP神经网络识别字符的简单实验。-Matlab in image processing and object recognition on the application of experimental procedures example. Including the three procedures and the detailed documentat
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自组织神经网络用于图像分割matlab实现-self-organizing neural networks for image segmentation achieve Matlab
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VC++编写的图像处理及识别软件，用matlab实现神经网络的识别功能，有利于图像识别功能的完成。-VC prepared by the image processing and recognition software, using Matlab neural network recognition, Image recognition is conducive to the complete function.
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对于图像处理，采用BP网络进行训练。使用Matlab编写-for image processing using neural network training. Prepared using Matlab
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there are some newly released Neural Network Example Programs for Character Recognition, which based on Image Processing Toolbox,Neural Network Toolbox in MATLAB, which is quite informative for the beginners in Neural networks applicators
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Character Recognition Using Neural Networks
Steps to use this GUI.
1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)
2. First we need to teach Character to computer. For this ty
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Version : 5.0 (New Version)
1- copy all files and directories to the MATLAB's work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- find the file named "main.m"
3- Double click
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冲耦合神经网络matlab源代码,实现图像的边缘检测-Red coupled neural network matlab source code, image edge detection
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面向Matlab工具箱的神经网络理论与应用,搞图像的要看。-Matlab toolbox for neural network theory and applications, engaging look at the image.
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在对图像进行Gabor变换后使用BP神经网络进行人脸检测的MATLAB程序-Gabor transform in the image using BP neural network after the face detection process MATLAB program
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基于MATLAB的人脸识别算法，使用2D-DCT,自组织算法以及离散余弦变换-A MATLAB based Face Recognition System using
Image Processing and Neural Networks
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pcnn的matlab实现，源于马义德等著的《脉冲耦合神经网络与数字图像处理》- matlab implementation of pcnn, from MA YiDe s "pulse coupled neural networks and digital image processing"
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本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章－第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章－第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章－第12章，是两个综合性较强的实例，分别足Visual
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用MATLAB做的BP神经经网络，能识别简单易懂的图象
-BP Neural through the network using MATLAB, and can identify simple image
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用Matlab编写的神经元网络程序，可对图像进行分类。程序用到了4种神经元方法，BP效果最好。-Neural network using Matlab program, the image classification. The program used four kinds neurons BP effect.
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Image Color Reduction using SOFM network
Reduction of colors of digital images using self organizing feature maps (SOFM) neural network in MATLAB
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matlab code for image compression based on neural network
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matlab code for image fusion based on neural network
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基于matlab R2010a的BP神经网络在遥感图像分类中的应用源代码-Application source code matlab R2010a BP neural network-based remote sensing image classification
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