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图像直线段检测算法综述与测评

郑行家 钟宝江

计算机工程与应用2019,Vol.55Issue(17):9-19,11.
计算机工程与应用2019,Vol.55Issue(17):9-19,11.DOI:10.3778/j.issn.1002-8331.1905-0255

图像直线段检测算法综述与测评

Overview and Evaluation of Image Straight Line Segment Detection Algorithms

郑行家 1钟宝江1

作者信息

  • 1. 苏州大学 计算机科学与技术学院,江苏 苏州 215000
  • 折叠

摘要

Abstract

The existing line segment detectors are systematically reviewed and evaluated. In the overview part, the existing detectors are divided into two categories:the global Hough-transform-based method and the local perceptual grouping method. The technical basis and implementation mechanisms of these two kinds of algorithms are investigated, and their advantages and disadvantages are summarized. In the evaluation part, Cho et al. established the first objective evaluation system for line segment detectors in a recent work. Unfortunately, this evaluation system has serious bugs in both code implementation and practical application. In consequence, the results obtained in the previous work of Cho et al. have not given an accurate enough picture of the detection performance of the current algorithms. The bugs in the evaluation system are all corrected, and 8 state-of-the-art line segment detectors are evaluated and compared. Finally, the prospects of future trends in this field are discussed in order for facilitating the relevant research.

关键词

直线段检测/Hough变换/感知组合/客观测评/主观测评/精度/召回率/F-值

Key words

straight line segment detection/Hough transform/perceptual grouping/objective evaluation/subjective eval-uation/precision/recall/F-score

分类

信息技术与安全科学

引用本文复制引用

郑行家,钟宝江..图像直线段检测算法综述与测评[J].计算机工程与应用,2019,55(17):9-19,11.

基金项目

国家自然科学基金(No.61572341) (No.61572341)

江苏高校优势学科建设工程资助项目. ()

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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