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。
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.
该文提出一种基于数学形态学的车牌图像分割算法。
In this paper, a algorithm of license plate segmentation based on mathematical morphology is proposed.
在深入研究数学形态学的基础上，提取了一种灰度图像车牌字符提取算法。
Through studying the mathematical morphology thoroughly, a novel license plate character extraction algorithm for the gray image is proposed.
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.
针对复杂环境下的车牌定位问题，提出了一种基于形态学的快速车牌定位方法。
A vehicle license plate location method based on morphology under complex circumstances is presented.
针对车牌定位问题，提出了一种基于数学形态学的定位方法。
Concerning the license plate location problem, a location method based on Mathematical Morphology is brought up.
本文提出了一种基于色彩分割、体态分析及数学形态学纹理分析的车牌定位方法。
A new license plate location method, which is based on color segmentation, license plate shape analysis and mathematic morphology operation, is presented.
提出一种基于数学形态学和模糊评价函数的实时车牌定位算法。
An algorithm based on mathematic morphology and fuzzy evaluation functions is put forward used for license plate location on line.
分析了目前存在的车牌自动定位方法及其相应的问题，提出了一种多分辨率下结合数学形态学和字符笔画分析的车牌定位算法。
Then we introduce a new algorithm that analyzes the character stroke with morphological method under multiple resolutions to locate the license plate.
分析了目前存在的车牌自动定位方法及其相应的问题，提出了一种多分辨率下结合数学形态学和字符笔画分析的车牌定位算法。
Then we introduce a new algorithm that analyzes the character stroke with morphological method under multiple resolutions to locate the license plate.
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