基于图像处理的车辆检测技术

R. Sheryl, Punitha Malar Dhas Julia, Kirubakaran S. Stewart
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引用次数: 0

摘要

日益增长的交通量给当今的交通研究带来了巨大的挑战。了解道路交通密度对于有效的交通管理和智能交通系统(ITS)具有重要意义。传统的车辆检测方法是图像减法,该方法易受亮度变化的影响,效果不佳。因此,该算法可以更精确地从图像中检测车辆。本文采用图像处理技术,包括图像采集、图像增强和图像分割等技术,从源处检索图像,增强图像的对比度和亮度,以实现对交通系统的成功监控。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vehicular detection technique using image processing
The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system.
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