Description: 这是《精通Visual C++数字图像处理技术与工程案例》光盘源代码,共包含9个完整用例（含源代码、完整设计流程图、原理介绍）：人脸检测、牌照自动识别监控、运动人体跟踪、细胞识别统计、文字识别、相机自动调焦、计算机集成数控、运动检测、车牌定位。书中含图像和视频资源，不需自行搜集。此外还有对于数字图像处理基础知识、工程使用中涉及的基本技术的介绍。-This is《proficient in Visual C++ digital image processing technology and engineering case》source code, contains a total of nine complete use case (including source code, complete the design flow chart, the principle of introduction): Human Face Detection, License Plate Recognition monitoring exercise to track the human body , cell recognition statistics, language identification, auto-focus camera, computer integrated CNC, motion detection, license plate location. Book containing images and video resources, do not need to collect on their own. In addition have the basic knowledge of digital image processing, engineering involving the use of basic technology introduction. Platform: |
Size: 14778368 |
Author:吴 |
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Description: 基于视频图像的车牌定位程序，其中预处理包括图像二值化、边缘提取、图像滤波和形态学处理的等等，最后利用投影进行车牌定位。-License Plate Location Based on Video Image program, which includes image binarization pretreatment, edge extraction, image filtering and morphological processing, etc. Finally, projection for license plate location. Platform: |
Size: 4426752 |
Author:田瑞霞 |
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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 Platform: |
Size: 2509824 |
Author:王述 |
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Description: 车牌识别技术(Vehicle License Plate Recognition，VLPR) 是指能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。车牌识别是现代智能交通系统中的重要组成部分之一，应用十分广泛。它以数字图像处理、模式识别、计算机视觉等技术为基础，对摄像机所拍摄的车辆图像或者视频序列进行分析，得到每一辆汽车唯一的车牌号码，从而完成识别过程。通过一些后续处理手段可以实现停车场收费管理，交通流量控制指标测量，车辆定位，汽车防盗，高速公路超速自动化监管、闯红灯电子警察、公路收费站等等功能。对于维护交通安全和城市治安，防止交通堵塞，实现交通自动化管理有着现实的意义。-The license plate recognition technology (Vehicle License Plate Recognition, VLPR) is detected by monitoring road vehicle and automatically extract vehicle license information (including Kanji characters, English letters, Arabic numerals and number plate color) processing technology. License plate recognition is an important part of modern intelligent transportation systems, and a wide range of applications. Based on digital image processing, pattern recognition, computer vision technology, vehicle camera shooting images or video sequences analysis, only the license plate number of every car, so as to complete the identification process. Can be achieved by subsequent processing means parking fee management, traffic flow control indicators measuring vehicle location, car theft, highway speeding automation regulatory red light electronic police, highway toll stations and more. Has practical significance for the maintenance of traffic safety and urban security, to prevent traffic jams, tr Platform: |
Size: 14730240 |
Author:王超 |
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Description: 能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。车牌识别是现代智能交通系统中的重要组成部分之一，应用十分广泛。它以数字图像处理、模式识别、计算机视觉等技术为基础，对摄像机所拍摄的车辆图像或者视频序列进行分析，得到每一辆汽车唯一的车牌号码，从而完成识别过程。通过一些后续处理手段可以实现停车场收费管理，交通流量控制指标测量，车辆定位，汽车防盗，高速公路超速自动化监管、闯红灯电子警察、公路收费站等等功能。-Monitored to detect the vehicles on the road and automatically extract vehicle license information (including Chinese characters, English letters, Arabic numerals and number plate color) processing technology. LPR is a modern intelligent transportation system, an important part of one widely used. It is a digital image processing, pattern recognition, computer vision technology, the camera captured images or video sequences vehicle analysis, only every car license plate number, thus completing the identification process. By means of some post-processing can be achieved parking fee management, traffic control index measurements, vehicle location, vehicle anti-theft, highway speeding automated monitoring red light electronic police, highway toll stations, etc. functions. Platform: |
Size: 1075200 |
Author:张钊 |
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Description: 能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。车牌识别是现代智能交通系统中的重要组成部分之一，应用十分广泛。它以数字图像处理、模式识别、计算机视觉等技术为基础，对摄像机所拍摄的车辆图像或者视频序列进行分析，得到每一辆汽车唯一的车牌号码，从而完成识别过程。通过一些后续处理手段可以实现停车场收费管理，交通流量控制指标测量，车辆定位，汽车防盗，高速公路超速自动化监管、闯红灯电子警察、公路收费站等等功能。-Monitored to detect the vehicles on the road and automatically extract vehicle license information (including Chinese characters, English letters, Arabic numerals and number plate color) processing technology. LPR is a modern intelligent transportation system, an important part of one widely used. It is a digital image processing, pattern recognition, computer vision technology, the camera captured images or video sequences vehicle analysis, only every car license plate number, thus completing the identification process. By means of some post-processing can be achieved parking fee management, traffic control index measurements, vehicle location, vehicle anti-theft, highway speeding automated monitoring red light electronic police, highway toll stations, etc. functions. Platform: |
Size: 154624 |
Author:张钊 |
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Description: 实现车牌的定位和识别功能。。但是识别度不高。用的是摄像头获取视频文件-License plate location and recognition. . However, recognition is not high. Using a camera to get video files Platform: |
Size: 2525184 |
Author:hehe |
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Description: 本程序开发环境：vc6.0 opencv1.0
整体功能：是为了实现车牌自动跟踪，检测，并拍照，定位，识别，但是跟踪和拍照等于没有实现。
实现功能： 能实现视频中物体跟踪，但必须是手动圈住才行，摄像头是usb摄像头.
打开车牌图片，能进行定位，车牌分割，字符分割，字符识别。-英语
简体中文
The program development environment: VC6.0 opencv1.0
Function: in order to achieve automatic vehicle tracking, detection and take photographs, location, identification, tracking and camera is not achieved.
Function: object tracking in video, but must be manually only, the camera is a USB camera.
Open license plate picture, locate, license plate segmentation, segmentation, and character recognition. Platform: |
Size: 2515968 |
Author:神行 |
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Description: 本程序开发环境：vc和opencv
整体功能：是为了实现车载视频中车牌自动跟踪，检测，，定位，识别，视频中物体的跟踪必须是手动圈住才行，摄像头使用的是usb摄像头. 打开摄像头，可以看到视频中画面，移动鼠标圈住物体，可以自动跟踪。-This program development environment: VC and opencv
The overall function: in order to realize the video vehicle license plate automatic tracking, detection, identification, location, tracking, the video object must be manually around it, the camera is using USB camera. Open the camera, you can see the video screen, move the mouse around the body, can automatically track. Platform: |
Size: 2113536 |
Author:李闯 |
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Description: 场景图像中文本占据的范围一般都较小，图像中存在着大范围的非文本区域。因此，场景图像文本定位作为一个独立步骤越来越受到重视。这包括从最先的CD和杂志封面文本定位到智能交通系统中的车牌定位、视频中的字幕提取，再到限制条件少，复杂背景下的场景文本定位。与此同时文本定位算法的鲁棒性越来越高，适用的范围也越来越广泛。文本定位的方式一般可以分为三种，基于连通域的、基于学习的和两者结合的方式。基于连通域的流程一般是首先提取候选文本区域，然后采用先验信息滤除部分非文本区域，最后根据候选文本字符间的关系构造文本词。基于学习的方式关键在于两个方面：一是不同特征提取方法的使用如纹理、小波、笔画等。二是分类器的使用如支持向量机(Support Vector Machine，SVM)，AdaBoost等。连通域和学习结合的方式一般在提取阶段采用连通域的方式，但是滤除阶段是通过训练样本学习分类器来实现非文本的滤除。-The range of the text in the scene image is generally small, and there exists a wide range of non-text areas in the image. Therefore, the scene image text positioning as an independent step more and more attention. This includes positioning text the first CD and magazine cover to license plate location in intelligent transportation systems, capturing subtitles in video, and then locating scene text in complex backgrounds with fewer constraints. At the same time, the robustness of the text localization algorithm is more and more high, and the range of application is more and more extensive. Text localization methods can be divided into three types, based on the connectivity domain, based on learning and a combination of the two methods. The process of the connectivity domain is usually to extract the candidate text area first, then to filter some non-text areas by prior information, and finally construct the text words according to the relationship between candidate text characters. Le Platform: |
Size: 2048 |
Author:折胜军 |
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
Size: 1324032 |
Author:糖糖的小糖
|
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Description: 一个完整的车牌识别系统闭应包括车辆检测、图像采集、图像预处理、车牌定位、字符分割、字符识别等单元。当车辆到达触发图像采集单元时，系统采集当前的视频图像。车辆识别单元对图像进行处理，定位出牌照位置，再将车牌中的字符分割出来进行识别，然后组成车牌号码输出。(A complete license plate recognition system should include vehicle detection, image acquisition, image preprocessing, license plate location, character segmentation, character recognition and other units. When the vehicle reaches the trigger image acquisition unit, the system collects the current video image. The vehicle recognition unit processes the image, locates the license plate position, and then separates the characters in the license plate for recognition, and then forms the license plate number output.) Platform: |
Size: 6448128 |
Author:可乐一生 |
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Search - Video license plate location