实时视频图像边缘检测硬件加速器的FPGA实现

Xiangxiang Wei, Gaoming Du, Xiaolei Wang, Hongfang Cao, Shijie Hu, Duoli Zhang, Zhenmin Li
{"title":"实时视频图像边缘检测硬件加速器的FPGA实现","authors":"Xiangxiang Wei, Gaoming Du, Xiaolei Wang, Hongfang Cao, Shijie Hu, Duoli Zhang, Zhenmin Li","doi":"10.1109/asid52932.2021.9651710","DOIUrl":null,"url":null,"abstract":"Image edge is considered to be the most important attribute to provide valuable image perception information. At present, video image data is developing towards high resolution and high frame number. The image data processing capacity is huge, so the processing speed is very strict to meet the real-time performance of image data transmission. In this context, we present a method to accelerate the real-time video image edge detection. FPGA is used as the development platform. The real-time edge detection algorithm of image data with 1280x720 resolution and 30 frame/s, combined with median filter, Sobel edge detection algorithm and corrosion expansion algorithm, makes the running time of image processing module shorter. The color image of the video image collected by camera is processed. The HDMI interface shows that the scheme has achieved ideal results in the FPGA hardware platform simulation model, greatly improves the efficiency of the algorithm, and provides a guarantee for the speed and stability of the real-time image processing system.","PeriodicalId":150884,"journal":{"name":"2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"FPGA Implementation of Hardware Accelerator for Real-time Video Image Edge Detection\",\"authors\":\"Xiangxiang Wei, Gaoming Du, Xiaolei Wang, Hongfang Cao, Shijie Hu, Duoli Zhang, Zhenmin Li\",\"doi\":\"10.1109/asid52932.2021.9651710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image edge is considered to be the most important attribute to provide valuable image perception information. At present, video image data is developing towards high resolution and high frame number. The image data processing capacity is huge, so the processing speed is very strict to meet the real-time performance of image data transmission. In this context, we present a method to accelerate the real-time video image edge detection. FPGA is used as the development platform. The real-time edge detection algorithm of image data with 1280x720 resolution and 30 frame/s, combined with median filter, Sobel edge detection algorithm and corrosion expansion algorithm, makes the running time of image processing module shorter. The color image of the video image collected by camera is processed. The HDMI interface shows that the scheme has achieved ideal results in the FPGA hardware platform simulation model, greatly improves the efficiency of the algorithm, and provides a guarantee for the speed and stability of the real-time image processing system.\",\"PeriodicalId\":150884,\"journal\":{\"name\":\"2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/asid52932.2021.9651710\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Conference on Anti-counterfeiting, Security, and Identification (ASID)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/asid52932.2021.9651710","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

图像边缘被认为是提供有价值的图像感知信息的最重要的属性。目前,视频图像数据正朝着高分辨率、高帧数的方向发展。图像数据处理能力巨大,因此对处理速度要求非常严格,以满足图像数据传输的实时性。在此背景下,我们提出了一种加速实时视频图像边缘检测的方法。采用FPGA作为开发平台。采用1280x720分辨率、30帧/秒的图像数据实时边缘检测算法,结合中值滤波、Sobel边缘检测算法和腐蚀膨胀算法,缩短了图像处理模块的运行时间。对摄像机采集的视频图像进行彩色图像处理。HDMI接口表明,该方案在FPGA硬件平台仿真模型中取得了理想的效果,大大提高了算法的效率,为实时图像处理系统的速度和稳定性提供了保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA Implementation of Hardware Accelerator for Real-time Video Image Edge Detection
Image edge is considered to be the most important attribute to provide valuable image perception information. At present, video image data is developing towards high resolution and high frame number. The image data processing capacity is huge, so the processing speed is very strict to meet the real-time performance of image data transmission. In this context, we present a method to accelerate the real-time video image edge detection. FPGA is used as the development platform. The real-time edge detection algorithm of image data with 1280x720 resolution and 30 frame/s, combined with median filter, Sobel edge detection algorithm and corrosion expansion algorithm, makes the running time of image processing module shorter. The color image of the video image collected by camera is processed. The HDMI interface shows that the scheme has achieved ideal results in the FPGA hardware platform simulation model, greatly improves the efficiency of the algorithm, and provides a guarantee for the speed and stability of the real-time image processing system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信