车牌图像定位与分割。
车牌图像定位是车牌照识别系统的关键，该文提出了一种在高速公路复杂背景下的车牌定位与车牌字符分割方法。
Vehicle license plate locating is of vital importance in license plate recognition system. This paper proposes a new license plate detection and character segmentation method.
将分解出的高频图像经过后继处理即可定位出车牌，这种算法不仅提高了车牌定位的速度，而且大大提高了定位的准确率。
The license plate region is positioned by disposing the high frequency image created by wavelets operationthis arithmetic enhances the position velocity and accuracy.
一个典型的车牌识别系统包括图像捕获、车牌定位分割、字符分割、字符识别和识别结果处理等部分。
A typical LPR system will include image collecting part, plate location and result processing part, character segmentation part, character recognition part and result processing part etc.
一个典型的车牌识别系统包括图像捕获、车牌定位分割、字符分割、字符识别和识别结果处理等部分。
A typical LPR system will include image collecting part, plate location and segmentation part, character segmentation part, character recognition part and result processing part etc.
研究在复杂背景图像中快速定位车牌的方法。
Research for car license plate fast orientation in image under complex background.
本文的处理手段是对输入的汽车图像进行预处理，运用车牌定位、字符分割、字符识别的方法提取车牌上的字符串，并以文本的形式输出。
Its measure is to deal with the inputted images, exploit license plate location character segmentation character recognition to extract the character strings, and express these strings in text form.
在车牌定位系统中，我们用两个模块分别对图像预处理、图像的边缘检测和分割的若干方法进行编程实验。
In the system of license plate location, we used two modules block answer the image preprocessing and image of edge detection and intersected, programme and experiment were done for several methods.
提出一种基于小波分解和亮度矩的复杂背景下，图像中车牌定位和分割的方法。
This paper presents an effective license plate location algorithm, which employs wavelet transformation and intensity moment to extract number plate from the complex-background images.
在讨论二维二进可分离小波及图像小波去噪的基础上，研究一种基于小波变换并结合其他多种图像处理方法的车牌图像检测定位的算法。
This thesis presents a new algorithm on the detection and orientation of vehicle license plate based on planar and binary wavelet, integrated with many other im age processing methods.
实验表明，该算法对含噪的车牌图像能较好地完成检测定位。
The experimentations indicate that the algorithm can succeed in the detection and orientation of vehicle license plate from noisy license plate images.
针对复杂背景及不同光照条件下的车牌图像，提出了一种基于RG B色度空间的车牌定位及校正的新方法，建立了基于RG B色度空间的牌照检测模型。
A new approach is presented for vehicle license plate location and rectification based on RGB chroma space in the complicated-background and different illumination images.
车牌定位是车牌自动识别系统中关键的第一步，传统的最大梯度差算法按图像像素矩阵的顺序进行扫描和运算，存在运算量大，耗时长的缺点。
The traditional MGD (maximum gradient difference) algorithm based on the order of the image pixels matrix has the shortcomings of the large operation measure and long-time running.
在定位模块，结合车牌的边缘特征和纹理特征，在灰度图像的基础上，提出了基于数学形态学的车牌快速定位方法。
In the location module, combing with edge and texture features of license plate, in the gray-scale images, a fast location method based on mathematical morphology is proposed.
汽车牌照定位是一个较难解决的图像分割问题，神经网络为此问题的解决提供了一个有力工具。
Automatic location of vehicle license plates is a difficult image segmentation problem. Neural network is a powerful tool for solving the problem.
对于车牌定位，作者提出了一个基于小波变换的定位方法，采用小波变换对车牌图像进行边缘检测和定位。
The author presents a new method base on wavelet transform in the locating of license plates. The license plate image can be detected and located using wavelet transform.
在YUV颜色空间内，根据车牌图像的纹理特征，充分利用车牌图像的三个分量彩色信息，提出了一种基于彩色边缘的车牌定位方法。
Making use of the texture characteristics and the color information of plate images, this paper gives out a new method, which is based on the color-edge in the space of YUV, to extract license plate.
车牌识别系统主要包括车牌图像预处理、车牌定位、字符分割和字符识别四大部分。
Vehicle license plate recognition system consists of 4 parts, which are license plate image preprocessing, license plate localization, character segmentation and character recognition.
车牌识别是本文的主要研究内容，其中包括图像采集、车牌定位、字符分割、字符识别四个部分。
Number Plate Recognition is mainly studied in this paper, which includes Image Acquisition, Number Plate Location, Character Segmentation and Character Recognition.
其次，提取视频图像序列中的关键帧，对关键帧图像进行车牌的定位处理。
Secondly, it extracts a key frame from the video image sequence and makes a license plate location on the frame.
采用改进的BP神经网络，对汽车图像中车牌定位的方法进行了研究。
Does some research on detecting the license Number plate base on improved BP neural network.
论文的主要研究工作如下：1。车牌定位，即从包含车牌的车辆图像中提取出感兴趣的号牌。
Major researches in this paper are as follows: 1. Vehicle license plate location is to extract the license plate from which the vehicles images contain.
车牌定位其实就是在车辆图像中定位车牌牌照区域的技术。
Actually, license plate location technology is the specific technology to locate the license plate area in the image of vehicles.
针对车牌图像分割困难、车牌位置定位不准确等问题，提出了一种新的车牌快速定位方法。
Aimed at the difficulty of license plate location, this paper presents an effective license plate location algorithm based on HSV color model.
针对车牌图像分割困难、车牌位置定位不准确等问题，提出了一种新的车牌快速定位方法。
Aimed at the difficulty of license plate location, this paper presents an effective license plate location algorithm based on HSV color model.
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