Detecting wide lines using isotropic nonlinear filtering

Laura Liu, Dapeng Zhang, Jia You

Research output: Journal article publicationJournal articleAcademic researchpeer-review

76 Citations (Scopus)

Abstract

Lines provide important information in images, and line detection is crucial in many applications. However, most of the existing algorithms focus only on the extraction of line positions, ignoring line thickness. This paper presents a novel wide line detector using an isotropic nonlinear filter. Unlike most existing edge and line detectors which use directional derivatives, our proposed wide line detector applies a nonlinear filter to extract a line completely without any derivative. The detector is based on the isotropic responses via circular masks. A general scheme for the analysis of the robustness of the proposed wide line detector is introduced and the dynamic selection of parameters is developed. In addition, this paper investigates the relationship between the size of circular masks and the width of detected lines. A sequence of tests has been conducted on a variety of image samples and our experimental results demonstrate the feasibility and effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)1584-1595
Number of pages12
JournalIEEE Transactions on Image Processing
Volume16
Issue number6
DOIs
Publication statusPublished - 1 Jun 2007

Keywords

  • Curvilinear structures
  • Feature extraction
  • Isotropic nonlinear filter
  • Line detection
  • Wide line detector

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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