基于DSP的车牌检测霍夫变换的高效实现

V. Kamat, S. Ganesan
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引用次数: 197

摘要

本文解决了道路场景中车牌检测的一般问题,用于车辆跟踪。它描述了一种使用图像处理技术从CCD相机获取的道路场景中检测车牌的算法,其中作者使用霍夫变换(HT)进行线检测(车牌的形状由线定义),因为它非常适合该应用程序,因为它有助于从图像中的特定区域和特定方向选择线。接下来是对实现该算法的图像处理系统的简要描述。最后,讨论了车牌检测算法在实际车辆中的应用结果和结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S
The paper addresses the general problem of the detection of vehicle license plates from road scenes, for the purpose of vehicle tracking. It describes an algorithm for detecting a license plate from a road scene acquired by a CCD camera, using image processing techniques, where the authors have used the Hough transform (HT) for line detection (the shape of the license plates is defined by lines) because it fits well into this application as it facilitates the selection of lines from specific areas and specific orientations within the image. This is followed by a brief description of the image processing system on which this algorithm has been implemented. Lastly, the results and conclusions of the application of the license plate detection algorithm to a real vehicle are discussed.
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