Harris角点检测算法的应用研究  

Application research on Harris corner detection algorithms

作　　者：姚依妮 王玮 YAO Yini;WANG Wei(College of Intelligent Manufacturing and Automotive Engineering,Luoyang Vocational College of Science and Technology,Luoyang Henan 471000,China)

机构地区：[1]洛阳科技职业学院智能制造与汽车工程学院,河南洛阳471000

出　　处：《智能计算机与应用》2022年第8期148-151,共4页Intelligent Computer and Applications

摘　　要：角点是机器视觉和图像处理技术中常用的特征点,在降低信息数据量的同时有效保留了图像的重要特征,现已广泛应用于各个领域,用来实现图像处理的特定要求。本文先对Harris角点检测算法原理进行阐述;再详细介绍改进的Harris角点检测算法的应用领域及效果;最后,对Harris角点检测的研究趋势做出总结和展望,为Harris角点检测的研究和应用提供参考。Corner is a common feature point in machine vision and image processing technology.It effectively retains the important features of the image while reducing the amount of information data,and has been widely used in various fields to meet the specific requirements of image processing.In this paper,the principle of Harris corner detection algorithm is briefly introduced,and then the application fields and improvement effects of improved Harris corner detection are introduced in detail.Finally,the research trend of Harris corner detection is summarized and prospected.The fruits could provide theoretical basis for the research and application for Harris corner detection.

关 键 词：机器视觉 图像处理 特征点 HARRIS角点 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]