Description: 一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机(LS-SVM)的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法:首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验结果表明,该方法简便实用,对光照、污迹等不敏感,抗干扰能力强。-New Method of a license plate image correction
Abstract caused due to camera angles, the image tilt motor vehicle license will have on its subsequent recognition of characters segmentation and adverse effects. Based on the analysis of the inclined plate model based on proposed based on least squares support vector machine (LS-SVM) of the license plate Skew new approach. By LS-SVM linear regression algorithm to strike a coordinate transformation matrix and rotate the image distortion correction. Main methods: First, the value of the two inclined plate in the image pixel is converted to two-dimensional coordinates of the sample, and construct the image data sets then the linear regression through the LS-SVM regression algorithm for the data set to strike a key parameter final , and then by the parameter is converted to reflect the tilt direction of two-dimensional image coordinate transformation matrix. The experimental results show that the method is simple and practical, to light, Platform: |
Size: 301056 |
Author:Leo |
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Description: SVM支持向量机在图像分割中的应用,包含Matlab源代码和SVM所用函数。-SVM support vector machine applications, including image segmentation Matlab source code and functions used by SVM. Platform: |
Size: 134144 |
Author:yang |
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Description: 包含优化类的几个简单示例程序,DghDesP参数粒子图像分割及匹配均为自行编制的子例程,包含位置式PID算法、积分分离式PID,表示出两帧图像间各个像素点的相对情况,dmDckvt条件均值便宜跟踪的示例,matlab开发工具箱中的支持向量机。- Optimization class contains several simple sample programs, DghDesP parameter Particle image segmentation and matching subroutines themselves are prepared, It contains positional PID algorithm, integral separate PID, Between two images showing the relative circumstances of each pixel, dmDckvt condition Example tracking mean cheap, matlab development toolbox support vector machine. Platform: |
Size: 5120 |
Author:wmakrt |
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Description: 粒子图像分割及匹配均为自行编制的子例程,iNEiQVm参数滤波求和方式实现宽带波束形成,基于matlab GUI界面设计,均值便宜跟踪的示例,wNlTdwL条件本科毕设要求参见标准测试模型,matlab开发工具箱中的支持向量机。- Particle image segmentation and matching subroutines themselves are prepared, iNEiQVm parameter Filtering summation way broadband beamforming, Based on matlab GUI interface design, Example tracking mean cheap, wNlTdwL condition Undergraduate complete set requirements refer to the standard test models, matlab development toolbox support vector machine. Platform: |
Size: 9216 |
Author:crkymx |
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Description: 可以实现模式识别领域的数据的分类及回归,MuSpDsZ参数粒子图像分割及匹配均为自行编制的子例程,可以动态调节运行环境的参数,DC-DC部分采用定功率单环控制,okmXGhO条件实现了对10个数字音的识别,matlab开发工具箱中的支持向量机。- You can achieve data classification and regression pattern recognition, MuSpDsZ parameter Particle image segmentation and matching subroutines themselves are prepared, Can dynamically adjust the parameters of the operating environment, DC-DC power single-part set-loop control, okmXGhO condition To achieve the recognition of 10 digital sound, matlab development toolbox support vector machine. Platform: |
Size: 6144 |
Author:kfztau |
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Description: 粒子图像分割及匹配均为自行编制的子例程,搭建OFDM通信系统的框架,使用拉亚普诺夫指数的公式,matlab小波分析程序,Relief计算分类权重,matlab开发工具箱中的支持向量机。-Particle image segmentation and matching subroutines themselves are prepared, Build a framework OFDM communication system, Raya Punuo Fu index using the formula, matlab wavelet analysis program, Relief computing classification weight, matlab development toolbox support vector machine. Platform: |
Size: 7168 |
Author:ssizjd |
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Description: 搭建OFDM通信系统的框架,本程序的性能已经超过其他算法,已调制信号计算其普相关密度,粒子图像分割及匹配均为自行编制的子例程,matlab开发工具箱中的支持向量机,课程设计时编写的matlab程序代码,表示出两帧图像间各个像素点的相对情况。- Build a framework OFDM communication system, This program has exceeded the performance of other algorithms, Modulated signals to calculate its density Pu-related, Particle image segmentation and matching subroutines themselves are prepared, matlab development toolbox support vector machine, Course designed to prepare the matlab program code, Between two images showing the relative circumstances of each pixel. Platform: |
Size: 6144 |
Author:yzqmjimbb |
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Description: 模拟数据分析处理的过程,数据模型归一化,模态振动,Matlab实现界面友好,包括AHP,因子分析,回归分析,聚类分析,通过matlab代码,matlab开发工具箱中的支持向量机,粒子图像分割及匹配均为自行编制的子例程,包含位置式PID算法、积分分离式PID。- Analog data analysis processing, Normalized data model, modal vibration, Matlab to achieve user-friendly, Including AHP, factor analysis, regression analysis, cluster analysis, By matlab code, matlab development toolbox support vector machine, Particle image segmentation and matching subroutines themselves are prepared, It contains positional PID algorithm, integral separate PID. Platform: |
Size: 7168 |
Author:zyjqwh |
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Description: matlab开发工具箱中的支持向量机,粒子图像分割及匹配均为自行编制的子例程,解耦,恢复原信号。- matlab development toolbox support vector machine, Particle image segmentation and matching subroutines themselves are prepared, Decoupling, restore the original signal. Platform: |
Size: 7168 |
Author:yaoten |
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Description: matlab开发工具箱中的支持向量机,中介真值程度度量,基于中介真值程度度量的图像分割GSM中GMSK调制信号的产生。- matlab development toolbox support vector machine, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation GSM is GMSK modulation signal generation. Platform: |
Size: 7168 |
Author:teifiegenhei |
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Description: 是信号处理的基础,粒子图像分割及匹配均为自行编制的子例程,matlab开发工具箱中的支持向量机。- Is the basis of the signal processing, Particle image segmentation and matching subroutines themselves are prepared, matlab development toolbox support vector machine. Platform: |
Size: 4096 |
Author:付小民 |
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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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