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.
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。
Finally, realization process of location of license plate is used to illustrate the realization and optimization of the experiment on the system.
最后，以车牌的初定位实验在系统中的实现过程为例，分析了实验在系统上的实现过程和优化过程。
The thesis aims at researching the following two aspects in the License Plate Recognition System: license plate location and character segmentation.
本文对车牌识别系统中的车牌定位和车牌字符分割这两个主要问题，开展了部分研究工作。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
License plate recognition system is consisted by three parts: License plate location, character segmentation and character recognition.
车牌识别系统分为车牌定位、字符分割和字符识别三个部分。
The location of the vehicle license plate is the first step in the automotive vehicle license plate recognition system and the accuracy of locating plays an important role in this system.
汽车牌照定位是汽车牌照自动识别系统中第一个环节，定位的准确与否对系统起关键性的作用。
Concerning the license plate with a great amount of location computation and long positioning time, a fast and practical positioning system is designed.
针对车牌定位计算量大、定位时间长问题，设计了一套快速实用的定位系统。
Concerning the license plate with a great amount of location computation and long positioning time, a fast and practical positioning system is designed.
针对车牌定位计算量大、定位时间长问题，设计了一套快速实用的定位系统。
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