单次扫描连通域分析算法研究综述

曲立国; 陈国豪; 胡俊; 陈鹏

doi:10.12263/DZXB.20210368

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单次扫描连通域分析算法研究综述

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- 单次扫描连通域分析算法研究综述
- A Review of Single-pass Connected Component Analysis Algorithms
- 电子学报 2022年50卷第6期页码：1521-1536
- 作者机构：
  
  1.安徽师范大学物理与电子信息学院,安徽芜湖 241002
  2.安徽省智能机器人信息融合与控制实验室,安徽芜湖 241002
- 作者简介：
  
  [ "曲立国男，1979年出生，吉林舒兰人.安徽师范大学物理与电子信息学院副教授.主要研究方向为智能信息处理，检测技术与自动化装置．E-mail: qlg77@163.com" ]
  [ "陈国豪男，1997年出生，安徽池州人.安徽师范大学物理与电子信息学院硕士研究生.主要研究方向为计算机视觉与自动化装置． E-mail: cgh591614156@163.com" ]
  [ "胡俊男，1996年出生，安徽六安人.安徽师范大学物理与电子信息学院硕士研究生.主要研究方向为智能信息处理与自动化装置．E-mail: 17856939565@163.com" ]
  [ "陈鹏男，1975年出生，安徽萧县人．安徽师范大学物理与电子信息学院讲师.主要研究方向为机器学习．E-mail: ahnuchp@ahnu.edu.cn" ]
- 基金信息：
  
  安徽省高等学校自然科学研究项目重点项目(KJ2019A0511)
- DOI：10.12263/DZXB.20210368
  中图分类号： TP211;
- 收稿：2021-03-16，
  
  修回：2022-03-09，
  
  纸质出版：2022-06-25
- 稿件说明：
移动端阅览
曲立国,陈国豪,胡俊等.单次扫描连通域分析算法研究综述[J].电子学报,2022,50(06):1521-1536.

QU Li-gou,CHEN Gou-hao,HU Jun,et al.A Review of Single-pass Connected Component Analysis Algorithms[J].ACTA ELECTRONICA SINICA,2022,50(06):1521-1536.
曲立国,陈国豪,胡俊等.单次扫描连通域分析算法研究综述[J].电子学报,2022,50(06):1521-1536. DOI： 10.12263/DZXB.20210368.

QU Li-gou,CHEN Gou-hao,HU Jun,et al.A Review of Single-pass Connected Component Analysis Algorithms[J].ACTA ELECTRONICA SINICA,2022,50(06):1521-1536. DOI： 10.12263/DZXB.20210368.

摘要

连通域分析在单次扫描中标记像素同时提取每个连通域的特征数据，是二值图像处理的重要步骤之一.基于FPGA的硬件架构实现单次扫描连通域分析算法可以实现快速位流图像实时处理.本文重点分析了近十年来发展的连通域标记算法和单次扫描连通域分析算法，阐述了典型连通域分析算法的实现策略和框架，给出了它们的伪代码，并描述了它们的联合查找算法.此外，通过数据对比，从算法硬件架构的内存需求和吞吐量等方面对不同算法的性能进行了比较分析，并总结了它们的优缺点.分析结论为实现基于FPGA高速位流图像的连通域检测提供了理论依据和数据参考.

Abstract

Connected component analysis(CCA) is one of the major steps in binary image processing

which label pixels in single-pass and extract the features of each connected component at the same time. Single-pass connected component analysis algorithm based on FPGA hardware architecture can realize fast real-time bit stream image processing. In this article

we focus on connected component labeling(CCL) algorithms and single-pass connected component analysis algorithms developed in the last decade

explain the implementation strategies and architectures of the typical connected component analysis algorithms

present their pseudo codes

and describe their Union-find algorithms. In addition

through data comparison

the performance of different algorithms is compared and analyzed in terms of memory requirements and throughput of algorithm hardware architectures

and their advantages and disadvantages are summarized. The analysis results provide a theoretical basis and data reference for the realization of connected component detection based on FPGA high-speed bit stream images.

关键词

Keywords

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