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Description: OpenCV角点检测代码,利用intel图形处理库opencv对彩色图像中物体的角和边进行检测，可以用在车辆的检测中-OpenCV corner detection code, the use of graphics processing for Intel OpenCV right color images of objects in the angle and edge detection, can be used in the detection vehicle
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Size: 1151 |
Author: 陈其星 |
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Description: 基于边缘和马儿可夫自由场的车辆跟踪算法，东京大学，2006，algorithm of vehicle tracking based on edge and S-T MRF from university of Tokyo,2006
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Author: 李鑫 |
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Description: 平滑滤波 一般来说，图像的能量主要集中在其低频部分，噪声所在的频段主要在高频段，同时系统中所要提取的汽车边缘信息也主要集中在其高频部分，因此，如何去掉高频干扰又同时保持边缘信息，是我们研究的内容。为了去除噪声，有必要对图像进行平滑，可以采用低通滤波的方法去除高频干扰。图像平滑包括空域法和频域法两大类，在空域法中，图像平滑的常用方法是采用均值滤波或中值滤波，对于均值滤波，它是用一个有奇数点的滑动窗口在图像上滑动，将窗口中心点对应的图像像素点的灰度值用窗口内的各个点的灰度值的平均值代替，如果滑动窗口规定了在取均值过程中窗口各个像素点所占的权重，也就是各个像素点的系数，这时候就称为加权均值滤波；对于中值滤波，对应的像素点的灰度值用窗口内的中间值代替。实现均值或中值滤波时，为了简便编程工作，可以定义一个n*n的模板数组。另外，读者需要注意一点，在用窗口扫描图像过程中，对于图像的四个边缘的像素点，可以不处理；也可以用灰度值为\"0\"的像素点扩展图像的边缘。下面给出了采用加权均值滤波的图像平滑函数代码和效果图：-smoothing filter general, the image of energy is mainly focused on the low-frequency part of the noise lies mainly in the high-frequency band, which system to extract the vehicle Edge Information has been concentrated in some of its high frequency, therefore, how to remove high-frequency interference at the same time, maintain the edge information, we Institute enforcement of the content. In order to remove noise, it is necessary for smooth images can be used to the low-pass filter to remove high-frequency interference. Image Smoothing including airspace and frequency domain method two categories, in the airspace law, the common image smoothing method is used Mean Median filter or filter for filtering mean, it is an odd point in the sliding window on the sliding images of the corresponding
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Size: 43854 |
Author: 123 |
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Description: 平滑滤波 一般来说，图像的能量主要集中在其低频部分，噪声所在的频段主要在高频段，同时系统中所要提取的汽车边缘信息也主要集中在其高频部分，因此，如何去掉高频干扰又同时保持边缘信息，是我们研究的内容。为了去除噪声，有必要对图像进行平滑，可以采用低通滤波的方法去除高频干扰。图像平滑包括空域法和频域法两大类，在空域法中，图像平滑的常用方法是采用均值滤波或中值滤波，对于均值滤波，它是用一个有奇数点的滑动窗口在图像上滑动，将窗口中心点对应的图像像素点的灰度值用窗口内的各个点的灰度值的平均值代替，如果滑动窗口规定了在取均值过程中窗口各个像素点所占的权重，也就是各个像素点的系数，这时候就称为加权均值滤波；对于中值滤波，对应的像素点的灰度值用窗口内的中间值代替。实现均值或中值滤波时，为了简便编程工作，可以定义一个n*n的模板数组。另外，读者需要注意一点，在用窗口扫描图像过程中，对于图像的四个边缘的像素点，可以不处理；也可以用灰度值为"0"的像素点扩展图像的边缘。下面给出了采用加权均值滤波的图像平滑函数代码和效果图：-smoothing filter general, the image of energy is mainly focused on the low-frequency part of the noise lies mainly in the high-frequency band, which system to extract the vehicle Edge Information has been concentrated in some of its high frequency, therefore, how to remove high-frequency interference at the same time, maintain the edge information, we Institute enforcement of the content. In order to remove noise, it is necessary for smooth images can be used to the low-pass filter to remove high-frequency interference. Image Smoothing including airspace and frequency domain method two categories, in the airspace law, the common image smoothing method is used Mean Median filter or filter for filtering mean, it is an odd point in the sliding window on the sliding images of the corresponding
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Description: OpenCV角点检测代码,利用intel图形处理库opencv对彩色图像中物体的角和边进行检测，可以用在车辆的检测中-OpenCV corner detection code, the use of graphics processing for Intel OpenCV right color images of objects in the angle and edge detection, can be used in the detection vehicle
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Size: 1024 |
Author: 陈其星 |
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Description: 车牌号码的自动检测先进行图像的预处理，在对预处理后的图像做边缘检测，根据车牌像素的大小进行车牌分割最后将分割的车牌保存在一个文件当中-Automatic detection of the vehicle registration number, preceded by image preprocessing, in the image pre-processing to do edge detection, in accordance with license plate license plate pixel size of the final partition will be partition number plates stored in a file which
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Size: 52224 |
Author: joan |
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Description: 车牌自动识别程序 灰度处理 直方图处理 灰度增强 边缘提取 边缘锐化 车牌截取 车牌二值化-Automatic Vehicle Identification procedures to deal with gray gray histogram processing to enhance Edge Sharpen Edge interception plate plate binarization
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Size: 82944 |
Author: 李国辉 |
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Description: 基于边缘和马儿可夫自由场的车辆跟踪算法，东京大学，2006，algorithm of vehicle tracking based on edge and S-T MRF from university of Tokyo,2006 -Based on Edge and horse free Markov field vehicle tracking algorithm, the University of Tokyo, 2006, algorithm of vehicle tracking based on edge and ST MRF from university of Tokyo, 2006
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Size: 566272 |
Author: 李鑫 |
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Description: Visual C++写的车牌自动识别系统（只完成到车牌定位提取一步，字符的识别没有完成，大家有兴趣可以自己完成），功能包括前期图像处理的各种操作，支持各种颜色的bmp图片，二值化、边缘检测、滤波、平滑、直方图处理等等，测试图片也打包进源码了-Visual C++ Written Automatic Vehicle Identification System (only one step to extract license plate location, character identification is not complete, we are interested in can be completed), features include a variety of pre-image processing operation, to support a variety of colors The bmp images, binarization, edge detection, filtering, smoothing, histogram processing, etc., test images are also packaged into the source of the
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Size: 1909760 |
Author: wuyiliang |
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Description: 背景差分法对运动汽车的检测，对检测得到的汽车图像进行预处理和边缘提取-Background difference method for the detection of movement of motor vehicles, the vehicle has been detected image pre-processing and edge extraction
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Size: 16384 |
Author: 温鑫 |
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Description: 本文详细介绍了我们为首届全国智能车大赛而准备的智能车系统方案。该
系统以Freescale16 位单片机MC9S12DG128 作为系统控制处理器，采用基于的
摄像头的图像采样模块获取赛道图像信息，通过边缘检测方法提取赛道黑线，
求出小车与黑线间的位置偏差，采用PID 方式对舵机转向进行反馈控制。通过
自制的速度传感器实时获取小车速度，采用Bang-Bang 控制策略形成速度闭环
控制。小车还将通过特定算法分析出前方的路况，并根据路况的不同而为小车
分配以不同的速度。文中将介绍赛车机械结构和调整方法，赛车转向模块和驱
动模块的设计、参数和有关测试，图像采样模块的摄像头工作机制以及安装选
型、采样电路设计和采样策略，还将介绍自制的速度传感器的制作、安装方法
和对其可靠性所做的测试。我们将说明本系统的舵机转向策略、速度闭环控制
与速度分配策略。除智能车系统本身的介绍外，我们还将详细叙述该系统开发
过程中所用到的开发工具、软件以及各种调试、测试手段方法。-In this paper we will demonstrate an intelligent vehicle system scheme
prepared for the first national intelligent vehicle contest. The vehicle system, with
the Freescale16-bit single-chip MC9S12DG128 as its control microprocessor, uses
image-sensor module based on camera to obtain lane image information, then
abstract the black line on the contest lane by edge-detection method and calculate
the position difference between the vehicle and the black line with which we will
have a PID feedback control on the steering angle. The vehicle also uses a
speed-sensor made by ourselves to obtain the real time speed which will be used in a
speed feedback that adopts Bang-Bang control method. Certain algorithm will be
employed to analyze the lane styles in front of the vehicle and set different vehicle
speed according to the lane style. The mechanical structure and adjustment method
of the vehicle, the design, parameters, and relative tests of the vehicle steer module
and driving modul
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Size: 2048 |
Author: 刘 |
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Description: 实现车牌自动定位的MATLAB程序：对图像进行预处理，垂直边缘检测，形态学运算，提取出车牌。-Implementation of Automatic Vehicle Location MATLAB procedures: pre-processing of images, vertical edge detection, morphological operations to extract license plate.
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Size: 13312 |
Author: juanjuan |
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Description: 把图像变成灰度图，分割，检测边缘，识别出车牌号，剪切车牌号-Into a grayscale image, segmentation, edge detection, identification of vehicle license number license plate number shear
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Author: shensisi |
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Description: 摘要
车辆牌照识别(License Plate Recognition System, LPR)作为目标自动识别的一
种重要形式，可用于电子收费、出入控制、车流监控等众多场合，从而提高交通
管理自动化的程度，它的相关技术的研究正逐渐受到人们的重视。
本文主要介绍基于Run Length原理和Tamura纹理的车牌定位系统，该系统是基
于视频流进行开发的，主要包括车辆运动区域检测、车牌图像处理、车牌定位。
其中车辆运动区域检测利用多帧求平均的背景估计方法实现；车牌图像处理包括
灰度变换、中值滤波、边缘检测和二值化；车牌定位包括车牌水平定位、车牌垂
直定位、颜色判断和细定位。
该定位系统是在C++Builder环境下实现的，针对不同大小车牌、不同光照条件
的1400张图片进行测试，其定位率可以达到92 以上；同时也将该算法封装成DLL
库，应用在雷达测试仪中，对各种光照条件下的视频流进行测试。测试结果证明
本文算法简单、快速、准确率高，满足车牌识别系统实时性、通用性、和准确性
的要求，具有一定的应用价值。
关键词：车牌定位Run Length Tamura纹理-Abstract
As an important application form of target automatic recognition, vehicle license
plate recognition( LPR) technology is used in some fields, such as electron charging,
pass controlling and automobile stream supervising etc.
The paper introduces license plate location system based on the principle of Run
Length and Tamura texture feature. The system is developed based on video streams,
mainly includes vehicle motion region detection, license plate image processing, vehicle
license plate location. The detection of vehicle motion region uses the background
estimation methods based on the average of multi-frame license plate image processing
includes gray-scale transformation, median filtering, edge detection and binarization
the license plate location includes license plate horizontal location, license plate vertical
position, color judgments and accurate location.
The system is achieved in the C++ Builder environment, and it uses 1400 images
that are of different
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Author: 王述 |
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Description: Automatic Vehicle Identification (AVI) has many
applications in traffic systems (highway electronic toll collection, red
light violation enforcement, border and customs checkpoints, etc.).
License Plate Recognition is an effective form of AVI systems. In
this study, a smart and simple algorithm is presented for vehicle’s
license plate recognition system. The proposed algorithm consists of
three major parts: Extraction of plate region, segmentation of
characters and recognition of plate characters. For extracting the
plate region, edge detection algorithms and smearing algorithms are
used. In segmentation part, smearing algorithms, filtering and some
morphological algorithms are used. And finally statistical based
template matching is used for recognition of plate characters. The
performance of the proposed algorithm has been tested on real
images. Based on the experimental results, we noted that our
algorithm shows superior performance in car license plate
recognition
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Author: Serhat |
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Description: 该程序主要对车标进行预处理边缘检测等，并对车标进行识别等论文资料-The program mainly for pre-standard vehicles such as edge detection, identification and logo
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Size: 240640 |
Author: duxing |
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Description: ：提出了一种在固定摄像头拍摄的车辆图像序列中检测出运动车辆并识别其车辆类型的系统结构和基
于Sobel 边缘细化提取车型特征的新方法-: A shot in the fixed-camera image sequences to detect vehicles moving vehicles and identify the type of vehicle architecture and models based on Sobel edge extracting detailed characteristics of the new method
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Author: 王策 |
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Description: 本程序对实现车标的识别功能，利用一幅一幅提供的车标作为模版，对30幅图片进行识别，从中识别出大众的标志，其中主要要用到二值化和边缘提取的算法。如果需要改变测试图片，只需将源代码中第十四行的文件名改掉进可以了。-This program is the realization of the vehicle the subject of recognition, a one car labeled as a template, to identify the 30 pictures from which to identify a sign of the public, which use the binarization and edge detection algorithms. If you need to change the test images, line 14 of file names to get rid of simply source code into the can.
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Size: 24623104 |
Author: 空杯 |
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Description: 图象边缘检测验证程序，实现诸如车牌号码识别等应用，C++ Builder源码-Image edge detection to verify procedures, implement applications such as vehicle license plate number recognition, C++ Builder code
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Size: 207872 |
Author: echun369 |
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Description: Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
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Size: 1382400 |
Author: 穿山甲说
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