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A New Method of License Plate Location Based on Multi-threshold Quantization Segmentation of Color Image

机译：基于彩色图像多阈值量化分割的车牌定位新方法

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摘要

In the complex reality environment, License plate image may contain multiple plates. At this point, simply using grayscale or color image processing only is very difficult to achieve fast and accurate positioning. By full use of the multiple conditions such as color, edge features and veins, a new method of multi-objective, integrated color of license plate location has been put forward. Firstly, make the multi-color threshold quantization segmentation of color image, edge detection and morphology of its deal to get a candidate region, integration of the color code matrix diagram and quantify the length and width of the plate area fixed ratio to get the second candidate region, then in the second candidate region, judging the edge points on both sides of the diagonal with the color quantization value, verify the authenticity of the candidate regions. Through progressively filter the candidate region, and ultimately locate each license plate. The algorithm is full integration the advantages of the method based on color image processing, simple and effective, and have good positioning accuracy and engineering practicality.
机译：在复杂的现实环境中，车牌图像可能包含多个车牌。在这一点上，仅使用灰度或彩色图像处理很难实现快速准确的定位。通过充分利用颜色，边缘特征和纹理等多种条件，提出了一种多目标，综合化车牌定位颜色的新方法。首先，对彩色图像进行多色阈值量化分割，对其边缘进行检测并进行形态学处理，得到候选区域，对彩色代码矩阵图进行积分，量化印版面积的长宽比固定比例，得到第二个。候选区域，然后在第二候选区域中，使用颜色量化值判断对角线两侧的边缘点，以验证候选区域的真实性。通过逐步过滤候选区域，并最终找到每个车牌。该算法充分融合了基于彩色图像处理方法的优点，简单有效，具有良好的定位精度和工程实用性。

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