Detection of curved lines with B-COSFIRE filters: A case study on crack delineation

Nicola Strisciuglio*, George Azzopardi, Nicolai Petkov

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

10 Citations (Scopus)


The detection of curvilinear structures is an important step for various computer vision applications, ranging from medical image analysis for segmentation of blood vessels, to remote sensing for the identification of roads and rivers, and to biometrics and robotics, among others. This is a nontrivial task especially for the detection of thin or incomplete curvilinear structures surrounded with noise. We propose a general purpose curvilinear structure detector that uses the brain-inspired trainable B-COSFIRE filters. It consists of four main steps, namely nonlinear filtering with B-COSFIRE, thinning with non-maximum suppression, hysteresis thresholding and morphological closing. We demonstrate its effectiveness on a data set of noisy images with cracked pavements, where we achieve state-of-the-art results (F-measure = 0.865 ). The proposed method can be employed in any computer vision methodology that requires the delineation of curvilinear and elongated structures.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns
Subtitle of host publication17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I
EditorsMichael Felsberg, Anders Heyden, Norbert Krüger
Place of PublicationCham
Number of pages13
ISBN (Electronic)978-3-319-64689-3
ISBN (Print)978-3-319-64688-6
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017 - Ystad, Sweden
Duration: 22 Aug 201724 Aug 2017
Conference number: 17

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017
Abbreviated titleCAIP


  • Crack delineation
  • Curved lines
  • Line detection
  • Non-linear filtering


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