Description: c语言编写的基于BP神经网络的对图像车辆分类，其中图像特征提取是用图像不变矩，给出了图像不变矩的样本数据和验证数据。-based BP neural network image of the vehicle classification, Feature Extraction which is the same image moments, the image is unchanged Moments sample data and test data. Platform: |
Size: 1101824 |
Author:adder |
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Description: sift 图像特征点提取算法。国外一个博士写的C++代码。-sift image feature extraction algorithm. A foreign written by Dr C code. Platform: |
Size: 324608 |
Author:Haibo |
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Description: 主分量分析(PCA ) 是统计学中分析数据的一种有效的方法, 可以将数据从高维数据空间变换到低维特征空间, 因而
可以用于数据的特征提取及压缩等方面。在该文的形状识别系统中, 用PCA 法提取图像的形状特征, 能够较好地满足识别
层的输入要求。在识别层研究了3 种识别方法: 最近邻法则、BP 网络及协同神经网络方法, 均取得了满意的实验效果。-Principal component analysis (PCA) is a statistical analysis of data in an effective method to data from high dimensional data space transformation to the low-dimensional feature space, which can be used for data feature extraction and compression and so on. In this paper, the shape recognition system using PCA extraction of the shape of image features, can be used to satisfy the identification requirements of the input layer. In the recognition layer studied three kinds of identification methods: nearest neighbor rule, BP network and the synergetic neural network methods, have achieved a satisfactory experiment results. Platform: |
Size: 277504 |
Author:陈平 |
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Description: 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode. Platform: |
Size: 482304 |
Author:媛媛 |
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Description: 用于图像识别的新型神经元网络
提出了一种用于图像识别的映封正交神经元网络。
在一般情况下待识别的样本空间的维数相当大,
为了有效地进行识别,必须把样本空间的维数降下来。目前常用的方法就是特征提取法,本文采用映射正交过程把样本空间映射成正交分类空间,并在此基础上,采用网络进行图像分类。计算机上模拟结果表明此网络县有时缺损和噪声图像进行正确识别的能力-Image recognition for a new type of neural network used in a video image recognition of the orthogonal neural network closure. In general, the sample space to be recognition of the considerable dimensions, in order to effectively identify, must be the dimension of sample space down. Commonly used method at present is the feature extraction method, this paper, the process of mapping the sample space orthogonal mapping classification into orthogonal space, and on this basis, the use of network image classification. Computer simulation results show that the county and sometimes the network image defects and noise of the ability to correctly identify Platform: |
Size: 441344 |
Author:wang kun |
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Description: Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of specific receptive fields. The properties of the network are detailed in this paper. Simulation results show that the network is able to perform image feature extraction within a time interval of 100 ms. This processing time is consistent with the human visual system. The demonstrations show how the network can extract right-angle contours in a visual image. Based on this principle, many other image features can be extracted by analogy. The parallel processing mechanism of this network model is very promising for a hardware implementation based on VLSI or FPGA technology. Platform: |
Size: 288768 |
Author:sacoura31 |
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Description: 《数字图像处理与机器视觉:Visual C++与Matlab实现》4
特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" four feature extraction, image recognition initially, artificial neural network, ANN based digital character recognition system Platform: |
Size: 726016 |
Author:陈新秋 |
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Description: 用gabor 来做特征提取，用神经元网络来分类的人脸检测代码，配有详细的代码解释，适合初学者-use gabor for feature extraction,use neural network as a classifier to detect face in a image Platform: |
Size: 2068480 |
Author:xiang |
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Description: 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 C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盆给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。光盘在下一次的上载中给出。 -This book introduces image processing and recognition, the basic principle of typical methods and practical technology. The book is divided into 12 chapters, chapter 1-chapter 6 is the basis of image processing and identify content, including image science, summary and MATLAB language image programming, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7-chapter 10 is the image processing and identification of the engineering example, covers the medical image processing, and character recognition and the guidance car path recognition application examples, and combine theory algorithm to provide large amounts of MATLAB code to help the reader master how to use MATLAB language of rapid algorithm simulation, commissioning and estimate method. Chapter 11-chapter 12, is two more integrated example, full Visual C++ respectively the realization of the character recognition based on neural network system and license plate localization system. This b Platform: |
Size: 1241088 |
Author:张丽玲 |
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Description: 使用Gabor特征提取和神经网络的人脸检测，里面带有人脸和非人脸的训练图库，检测效果很好。
运行该程序：
1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序，你必须有图像处理和神经网络工具箱
2 - 找到名为“main.m”的文件
3 - 双击这个文件或在命令窗口中的“主”类型
4 - 将显示一个菜单。点击“火车网”，并等待，直到程序完成培训
5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片
6 - 等待，直到程序检测到一些面孔
-Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces Platform: |
Size: 19137536 |
Author:朝颜 |
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Description: 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of similarity : Mahalanobis distance, the Euclidean distance relevance feedback : machine learning methods, such as SVM. Neural network search and classification : two very similar samples from the small, although the two are similar to the samples may not be much distance Platform: |
Size: 164864 |
Author:EmilyFu |
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Description: 常用的opencv图像特征提取算法。包括直方图、边缘检测、角点检测、直线提取、圆形提取等。并包括不太成熟的BP神经网络识别纯底色数字。-Commonly used opencv image feature extraction algorithm. Including histograms, edge detection, corner detection, line extraction, circular extraction. And includes less mature pure background BP neural network identification numbers. Platform: |
Size: 1097728 |
Author:李继鸿 |
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Description: 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，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统。 本书附带的光盘给出了各个章节列举的实例的源代码，同时赠送了28个常用数字图像处理算法的Visual C++代码实现。 本书讲解深入浅出，实例程序丰富，注重理论与实践相结合。本书可作为计算机应用、自动化、图像处理与模式识别、机电一体化专业的高年级本科生或研究生的参考书，也可供从事图像处理与识别的研究人员和工程技术人员阅读参考。-This book introduces the basic principles of image processing and recognition of the typical methods and practical skills . The book is divided into 12 chapters , Chapter 1- Chapter 6 is the basis of the content of image processing and recognition , including images scientific overview , MATLAB programming language images, image enhancement, image segmentation, image feature extraction and image recognition Chapter 7- Section Chapter 10 is a project example image processing and recognition , covering the medical image processing, character recognition and self- guided trolley path recognition example , the combination of theory and algorithms, for a lot of MATLAB code procedures to help readers learn how to use MATLAB language fast simulation , debugging and estimation methods algorithm. Chapter 11- Chapter 12 , are two examples of highly integrated , namely Visual C++ implementation based on neural network character recognition system and a license plate positioning system. The book Platform: |
Size: 6598656 |
Author:朱朴宁 |
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Description: This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process. Platform: |
Size: 175104 |
Author:mahmuddwis |
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Description: Visual C++/MATLAB图像处理与识别实用案例精选，第1-6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7-10章是图像处理与识别的工程实例。第11、12章介绍了Visual C++实现的基于神经网络的文字识别系统和车牌定位系统2个综合性较强的实例。-C++/MATLAB Visual image processing and recognition of practical case selection, chapter 1-6 is the basis of image processing and recognition, including image science, MATLAB language programming, image enhancement, image segmentation, image feature extraction and image recognition. Chapter 7-10 is an engineering example of image processing and recognition. 12, the eleventh chapter introduces the C++ Visual implementation of the recognition system based on the neural network and the license plate positioning system 2 more comprehensive examples. Platform: |
Size: 5172224 |
Author:light1003 |
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Description: 图像特征提取，包括灰度提取、灰度直方图、神经网络图像识别程序以及形态学分割和图像的膨胀与腐蚀-Extract image feature extraction, including gray, gray histogram, neural network is the expansion of the image segmentation and image recognition process and morphology and corrosion Platform: |
Size: 4096 |
Author:莫小依 |
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Description: 将理论知识、科学研究和工程实践有机结合起来，内容涉及数字图像处理和识别技术的方方面面，包括图像的点运算、几何变换、空域和频域滤波、小波变换、图像复原、形态学处理、图像分割以及图像特征提取的相关内容；同时对于机器视觉进行了前导性的探究，重点介绍了两种目前在工程技术领域非常流行的分类技术——人工神经网络（ANN）和支持向量机（SVM），并在人脸识别这样的热点问题中结束《精通Matlab数字图像处理与识别》。(Combining theoretical knowledge, scientific research and engineering practice, the content involves all aspects of digital image processing and recognition technology, including point operation, geometric transformation, spatial and frequency domain filtering, wavelet transform, image restoration, morphological processing, image segmentation and image feature extraction, and the exploration of the preamble of machine vision. Two kinds of classification techniques, artificial neural network (ANN) and support vector machine (SVM), which are popular in the field of engineering and technology, are introduced in this paper, and the "master Matlab digital image processing and recognition" is finished in the hot issues such as face recognition.) Platform: |
Size: 17900544 |
Author:Xingli |
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Search - image feature extraction neural network