Vehicular detection technique using image processing

R. Sheryl, Punitha Malar Dhas Julia, Kirubakaran S. Stewart
{"title":"Vehicular detection technique using image processing","authors":"R. Sheryl, Punitha Malar Dhas Julia, Kirubakaran S. Stewart","doi":"10.26634/jip.9.3.19142","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"i-manager’s Journal on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26634/jip.9.3.19142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于图像处理的车辆检测技术
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Vehicular detection technique using image processing WHITE BLOOD CELL IMAGE CLASSIFICATION FOR ASSISTING PATHOLOGIST USING DEEP MACHINE LEARNING: THE COMPARATIVE APPROACH PRIMARY SCREENING TECHNIQUE FOR DETECTING BREAST CANCER BANK TRANSACTION USING IRIS RECOGNITION SYSTEM Implementation of image fusion model using DCGAN
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1