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A location method for vehicle license plate based on color image and black-white texture

机译:基于彩色图像和黑白纹理的车牌定位方法

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摘要

This paper presents an effective location algorithm employing color features and black-white texture analysis of the image to extract a vehicle license plate from a complicated background image. According to the background color of the license plate in RGB spaces, we transform the RGB image into a grayscale image as strengthening the color of the license plate, and partition the intensity image to obtain a binary image which can outstand the license plate part. We leach away the color which is similar to the license plate by analyzing the texture characteristic. The test shows that this location method can hardly be influenced by all of the factors including illumination, license plate position, license plate size, license plate angle, car position, image background and so on. Meanwhile, it can gain a high speed, better effects and a wide application area.
机译:本文提出了一种有效的定位算法,该算法利用颜色特征和图像的黑白纹理分析从复杂的背景图像中提取车辆牌照。根据车牌在RGB空间中的背景色,通过增强车牌的颜色,将RGB图像转换为灰度图像,并对强度图像进行分割,以获得可以胜过车牌部分的二值图像。通过分析纹理特征,我们可以滤出与车牌相似的颜色。测试表明,这种定位方法几乎不受所有因素的影响,包括照明,牌照位置,牌照尺寸,牌照角度,汽车位置,图像背景等。同时,它可以获得高速,更好的效果和广阔的应用领域。

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