The shadows similar to the vehicle and the spots caused by vehicle lamps need to be accurately detected in the vehicle segmentation involved in the video-based traffic parameter measurement.
视频交通参数检测中的车辆分割需要准确地检测与车辆连在一起的阴影和车灯产生的亮斑。
To segment a vehicle license card from the image background of the whole vehicle, a image segmentation algorithm basing on cross variance and Mathematical morphology is presented.
针对汽车牌照与车身背景的分割问题，提出一种基于横向方差和数学形态学的图像分割方法。
With Euclid distance computed in HSV space, color image is translated into grayscale image, which segmentation methods can be applied in to partition the vehicle from the background.
通过在HSV彩色空间计算欧式距离，把彩色图像转换为灰度图像，然后利用灰度图像的分割方法对车辆进行分割。
Generally speaking, the image segmentation method adopted in vehicle license plate recognition systems at present is not efficient due to its large search space.
因搜索空间太大，现有的车牌号码识别系统所采用的图象分割方法一般说来效率较低。
The authors present a new method to remedy the negative effect arising from slant vehicle license plates character segmentation and recognition based on principal component analysis (PCA).
为解决机动车牌图像倾斜将对其字符分割与识别带来不利的影响，提出一种基于主元分析(PCA)的车牌图像倾斜校正新方法。
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.
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。
Automatic location of vehicle license plates is a difficult image segmentation problem. Neural network is a powerful tool for solving the problem.
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。
Experimental results show that the system realizes automatic movement detection and vehicle card segmentation.
实验结果表明本系统能较好的实现运动检测和车牌分割。
Fast segmentation technique of multi-character image is proposed to solve the problem of the automatic identification of vehicle number in the paper.
针对汽车车牌图像自动识别的问题，提出了一种对多字符图像的快速分割技术。
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。
A method to remedy the negative effect arising from slant vehicle license plate's character segmentation and recognition based on character projection is presented.
为解决车牌图像倾斜对字符分割与识别带来的不利影响，提出一种基于字符投影的车牌图像错切校正方法。
Using image processing theory, this paper puts forward a segmentation and extraction of the border Algorithm for the complete picture of the vehicle.
本文利用图像处理理论，提出一种对完整车辆图像的分割算法和边界提取算法。
A kind of segmentation method of vehicle license plate characters based on neural networks and color feature is presented in this paper.
论文提出了一种基于神经网络和颜色特征的车牌字符分割方法。
This paper discusses characters segmentation and characters recognition in intelligent vehicle plate recognition system.
提出了一种纹理和连通域特征相结合的彩色文字分割方法。
The vehicle license plate segmentation is the basic step of the automatic recognition to the vehicle license plates.
车牌分割是汽车牌照自动识别的基础。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
Research and Implementation of Algorithms for Vehicle License Plate Positioning & Characters Segmentation Based on Image Analysis;
提出了基于参数自校正纹理分析的牌照定位方法，提高了车牌定位的精度。
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