Multiscale blood vessel delineation using B-COSFIRE filters

Nicola Strisciuglio*, George Azzopardi, Mario Vento, Nicolai Petkov

*Corresponding author for this work

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

26 Citations (Scopus)


We propose a delineation algorithm that deals with bar-like structures of different thickness. Detection of linear structures is applicable to several fields ranging from medical images for segmentation of vessels to aerial images for delineation of roads or rivers. The proposed method is suited for any delineation problem and employs a set of BCOSFIRE filters selective for lines and line-endings of different thickness. We determine the most effective filters for the application at hand by Generalized Matrix Learning Vector Quantization (GMLVQ) algorithm. We demonstrate the effectiveness of the proposed method by applying it to the task of vessel segmentation in retinal images. We perform experiments on two benchmark data sets, namely DRIVE and STARE. The experimental results show that the proposed delineation algorithm is highly effective and efficient. It can be considered as a general framework for a delineation task in various applications.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns
Subtitle of host publication16th International Conference, CAIP 2015, Valletta, Malta, September 2-4, 2015, Proceedings, Part II
EditorsGeorge Azzopardi, Nicolai Petkov
Place of PublicationCham
Number of pages13
ISBN (Electronic)978-3-319-23117-4
ISBN (Print)978-3-319-23116-7
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015 - Valletta, Malta
Duration: 2 Sept 20154 Sept 2015
Conference number: 16

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameImage Processing, Computer Vision, Pattern Recognition, and Graphics


Conference16th International Conference on Computer Analysis of Images and Patterns, CAIP 2015
Abbreviated titleCAIP 2015


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