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红外图像边缘检测算法综述

何谦 刘伯运

何谦, 刘伯运. 红外图像边缘检测算法综述[J]. 红外技术, 2021, 43(3): 199-207.
引用本文: 何谦, 刘伯运. 红外图像边缘检测算法综述[J]. 红外技术, 2021, 43(3): 199-207.
HE Qian, LIU Boyun. Review of Infrared Image Edge Detection Algorithms[J]. INFRARED TECHNOLOGY, 2021, 43(3): 199-207.
Citation: HE Qian, LIU Boyun. Review of Infrared Image Edge Detection Algorithms[J]. INFRARED TECHNOLOGY, 2021, 43(3): 199-207.

红外图像边缘检测算法综述

详细信息
    作者简介:

    何谦(1998-),男,硕士研究生,研究方向为图像处理,E-mail:1072633933@qq.com

  • 中图分类号: TN219

Review of Infrared Image Edge Detection Algorithms

  • 摘要: 为填补红外图像边缘检测算法综述性研究的空白,使更多研究者较为全面地了解目前成果,并为后续研究提供有价值的参考,遴选了近十年国内外红外图像边缘检测技术研究的相关文献。首先概述了红外成像与边缘检测技术,进而阐述了红外图像边缘检测技术的难点与挑战,接着总结了主要的红外图像边缘检测算法,将相关算法分为了4类——基于经典边缘检测算子改进的、基于蚁群算法的、基于数学形态学的和基于网络模型的,对其涉及的关键技术分别进行了分析。研究认为,在传统红外图像边缘检测技术中,形态学方法因简单易用而具有一定潜力;对于非传统红外图像边缘检测技术,基于深度学习的方法对目标边缘的针对性更强、鲁棒性更好、不需要设计复杂的算法步骤,给红外图像边缘检测带来了新的发展机遇。
  • 图  1  红外成像系统原理

    Figure  1.  Principle of infrared imaging system

    图  2  边缘检测步骤

    Figure  2.  Steps of edge detection

    图  3  Canny算子边缘检测流程图

    Figure  3.  Process of Canny operator for edge detection

    图  4  HED结构

    Figure  4.  Architecture of HED

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出版历程
  • 收稿日期:  2020-10-21
  • 修回日期:  2020-12-11
  • 刊出日期:  2021-04-02

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