Description: 国内近几年城市智能交通系统发展的很快，车牌识别系统作为
城市智能交通系统中信息采集的一种手段，也得到了很快的发展。
本文在详细研究了国内外的各种有代表性的车牌识别系统的基础上，结合
中国车牌的特点研发了一种适合中国车牌的识别系统。该技术于2004年荣获得
了公安部科技进步二等奖。
本文对车牌识别技术的研究，主要的创新有四个方面：
1基于小波分析的方法,成功地解决了车牌定位系统中传统的图像识别手段
很难解决的三个问题；
2本文对图像获取的摄像系统自适应控制技术进行了研究，创造性的提出了
行驶车辆图像获取的摄像机自适应控制系统(Acquring Image Adaptive Control
System,AIACS),很好的解决了车牌识别系统的全天候的问题；
3本文将车牌识别技术应用于车辆测速系统，在完成车牌识别的同时,解决
了测速问题,该技术目前处于国内领先水平,将车牌识别用于测速系统在国内是
首创；
4本文还对车牌识别的定位、切分、识别进行了详细的研究，并分别提出了
几种实用的新算法。-ITS(intelligent transportation systems)is progressing rapidly in
recent years in China.At the same time,as the information collection
method for ITS,the vehicle plate recognition technology has also
developed very fast.
Based on the detail analysis for the typical vehicle plate
recognition systems(VPRS),the peculiar VPRS presented suitable used in
China,concerning the charactristics of Chinese vehicle plate.The
technology of vehicle plate recognition has won the Second Prize of
Science and Technology Advancement of the Ministry of Public Security
of P.R.China.
The research presented here for VPRS is characteristic of the four
creation points showing bellow:
First,the problems which are of troubles really in the traditional
image treatment technology have been successful solved in use of wavelet
analysis.
Second,the Acquring Image Adaptive Control System(AIACS)has been
presented creatively to be adaptive in all weather conditions.Third,the vehicle plate recognition techn Platform: |
Size: 10698752 |
Author:陈忠厚 |
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Description: 本论文结合模式识别技术，在基于本体理论的基础上研究并实现强对流天气推理系统。该系统通过模式识别技术对图像数据进行预处理和特征提取，从中获取有用的特征信息，并结合气象专业知识，对特征信息进行分析，抽象出符合一定气象意义的知识，建立领域本体库，在此基础上研究并设计强对流领域推理规则，进而建立起强对流天气推理系统，以提高强对流气象预报领域的计算机化、快速化和实时化。-This paper combines the pattern recognition technology, ontology-based research based on the theory and reasoning to achieve strong convective weather systems. The system uses pattern recognition technology for image data preprocessing and feature extraction, feature information from which to obtain useful, combined with meteorological expertise to analyze information on the characteristics of the abstract meaning that meet certain meteorological knowledge, build domain ontology library, Based on research and design of inference rules convective areas, and setting up a strong convective weather inference system to increase the area of severe convective weather forecast computerized, fast and real-time. Platform: |
Size: 1617920 |
Author:yong |
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Description: C#实现车牌识别功能 应用于智能交通领域 对于全天候各类图片拥有极好的鲁棒性和识别率-C# license plate recognition in the field of intelligent transportation has excellent robustness and recognition rate for the weather all kinds of pictures Platform: |
Size: 209920 |
Author:张丽滨 |
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Description: Delphi实现车牌识别功能 应用于智能交通领域 对于全天候各类图片拥有极好的鲁棒性和识别率-Delphi has excellent robustness and recognition rate for the weather all kinds of pictures used in the field of intelligent transportation license plate recognition Platform: |
Size: 573440 |
Author:张丽滨 |
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Description: Vb实现车牌识别功能 应用于智能交通领域 对于全天候各类图片拥有极好的鲁棒性和识别率-Vb license plate recognition has excellent robustness and recognition rate for the weather all kinds of pictures used in the field of intelligent transportation Platform: |
Size: 32768 |
Author:张丽滨 |
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Description: 微信智能机器人的php源码，可实现的功能支持:
(北京)天气 、(北京)空气质量、翻译(我爱北京)、新闻、百科姚明、发送地理位置回复附近美食、火车北京到上海、火车T22、查申通快递222222、
股票000001/payh,今天几号、NBA、(冷)笑话、短信、经典、小说、歌手刘德华，歌曲七里香，发送图片进行人脸识别，我想你猜... 更多功能开发中!
-Micro letter intelligent robot source code, can achieve the function of support: (Beijing) weather, air quality (Beijing), translation (I love), news, Wikipedia Yao Ming, to send location Reply nearby cuisine train from Beijing to Shanghai, train T22 investigation STO 222222, the stock 000001/payh is, today number, NBA, (cold) jokes, SMS, classic novels, singer Andy Lau, song satinwoods, send pictures for face recognition, I think you guessed it ... more functional development in! Platform: |
Size: 8192 |
Author:siulaoyeng |
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Description: 图像中汽车牌照定位的准确与否,直接关系到自动车牌识别系统的整体性能.考虑由于时间和气候光照特性不同造成车牌图片清晰度的明显差异,提出一种新的自适应动态阈值车牌定位的算法.该方法首先分析图像的清晰度,将图像的白点数固定在一个与差分均值成正比的比例值内.然后,去除离散噪声.针对车牌区域的行和列有不同的特征,用不同的方法进行车牌横向和纵向区域的精确定位,最终找到目标车牌区域.实验显示,该方法对车牌定位的准确率达到98.7 -Image vehicle license positioning accuracy is directly related to the automatic license plate recognition system s overall performance. Considered due to time and weather caused by different license plate illumination characteristics significantly different picture clarity, a new adaptive dynamic threshold plate positioning algorithm the method first analyzes the sharpness, the white point of the image in a fixed proportion of the differential value is proportional to the mean inner then, remove the discrete noise plate area for the rows and columns have different characteristics, with different methods for horizontal and vertical plates pinpoint areas, and ultimately find the target plate region. experiments show that the method plate positioning accuracy rate of 98.7 Platform: |
Size: 12822528 |
Author:caizheng |
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Description: Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition
Explore the Java multi-platform feature to run your personal neural networks everywhere
This step-by-step guide will help you solve real-world problems and links neural network theory to their application Platform: |
Size: 5160960 |
Author:sanMatlab |
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Description: 该课题为基于MATLAB bp神经网络的雾霾天气下交通标志的识别系统。主要分两步骤，一是进行图像去雾，采用暗通道的方法获取光透射率，从而去除雾霾。得到清晰的图片后，利用颜色的方法进行交通标志的定位，众所周知，交通标志基本是红，蓝，黄三色组成，根据RGB不同组合可以定位到不同颜色，因为存在误差，所以需要借助形态学相关知识，将得到的误干扰面积去除，从而实现精准定位。定位后，在原图基础上进行分割出彩色图标，利用bp神经网络方法，进行训练，识别，从而得出结果。本设计配有一个GUI可视化界面，操作简单容易上手。是个不错的选题。(This project is a traffic sign recognition system based on Matlab bp neural network in haze weather. There are two steps. One is image defogging, and the dark channel method is used to obtain light transmittance to remove haze. After getting clear pictures, use color method to locate traffic signs. As we all know, traffic signs are basically composed of red, blue and yellow. According to different combinations of RGB, different colors can be located. Because there are errors, we need to use morphological knowledge to remove the error interference area, so as to achieve accurate positioning. After positioning, the color icon is segmented on the basis of the original image. The BP neural network method is used to train and identify the color icon, and the result is obtained. This design is equipped with a GUI visual interface, which is easy to operate. It's a good topic.) Platform: |
Size: 83507200 |
Author:可乐一生 |
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Search - weather recognition