摘要
射击训练系统中,靶面识别一直是基础和难点。本文利用HSV色彩空间特性对胸环靶进行识别,通过色彩通道分离HSV三通道并结合OTSU阈值分割算法,在不同光照条件下识别胸环靶。实验结果表明,在不同光照条件下本算法都具有较好的识别效率,并且满足实时性的要求。
Target recognition in shooting training systems has always been one of the foundations and difficulties.This article uses the HSV color space characteristics to identify chest ring targets.By separating HSV three channels and combining OTSU threshold segmentation algorithms,chest ring targets under different lighting conditions are identified.Experiment shows that the algorithm has better recognition efficiency under different lighting conditions and meets the requirements of real-time performance.
作者
党迪
曾培峰
DANG Di;ZENG Peifeng(College of Computer Science and Technology,Donghua University,Shanghai 201620,China)
出处
《智能计算机与应用》
2020年第7期11-16,22,共7页
Intelligent Computer and Applications
关键词
HSV色彩空间
色彩通道分离
靶面识别
实时性
HSV color space
Color channel separation
Target recognition
OTSU algorithm
