提出一种基于改进OTSU方法的运动车辆分割算法。
This paper proposes a moving car segmentation method based on improved OTSU method.
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。
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.
交通标志的自动分割和识别是智能车辆的重要软件支撑，具有重要的理论意义和实用价值。
The automatic segmentation of road sign and recognition is the important support software of the intelligent transportation system, there are important theory and practical values.
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。
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.
车辆牌照识别(LPR)作为一个综合的实时计算机视觉系统主要包括牌照定位分割和字符识别两个部分。
As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.
车辆目标的分割是在HSV彩色空间完成的。
分析了需求不可分割带能力约束的车辆路径问题(cvrp)的2 -OPT算法计算时间的平均复杂度。
The complexity of the 2 -opt algorithm for the capacitated vehicle routing problem (CVRP) was analyzed in this paper.
实时分割主要采用一种基于阴影消除的方法，通过模板匹配，从而达到分割重叠车辆的目的。
The real-time segmentation mainly adopts an improved algorithm based on the elimination of the shadow, to divide the moving target and by matching the template, separate the overlapping vehicles.
首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
汽车牌照自动识别系统的核心技术主要包括车辆定位、字符分割和车牌字符识别。
The kernel technique of the license plate Auto recognition System is mainly composed of license plate locating, character segmentation and character recognition.
车牌图像分割是车辆牌照自动识别系统的关键部分。
Number plate extraction is the key component of automatic vehicle license recognition system.
本文主要对车辆牌照识别系统中的车牌定位与字符分割技术进行研究。
This paper has studied on license plate localization and character segmentation in LPR system.
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。
Using image processing theory, this paper puts forward a segmentation and extraction of the border Algorithm for the complete picture of the vehicle.
实验结果表明，该方法能够快速、准确地在动态视频中分割出运动车辆和阴影。
The experiments show that this method can segment the moving vehicles and removal shadow rapidly and accurately from the video.
实验结果表明，该方法能够快速、准确地在动态视频中分割出运动车辆和阴影。
The experiments show that this method can segment the moving vehicles and removal shadow rapidly and accurately from the video.
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