Delineation of line patterns in images using B-COSFIRE filters

Nicola Strisciuglio, Nicolai Petkov

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

20 Citations (Scopus)

Abstract

Delineation of line patterns in images is a basic step required in various applications such as blood vessel detection in medical images, segmentation of rivers or roads in aerial images, detection of cracks in walls or pavements, etc. In this paper we present trainable B-COSFIRE filters, which are a model of some neurons in area V1 of the primary visual cortex, and apply it to the delineation of line patterns in different kinds of images. B-COSFIRE filters are trainable as their selectivity is determined in an automatic configuration process given a prototype pattern of interest. They are configurable to detect any preferred line structure (e.g. segments, corners, cross-overs, etc.), so usable for automatic data representation learning. We carried out experiments on two data sets, namely a line-network data set from INRIA and a data set of retinal fundus images named IOSTAR. The results that we achieved confirm the robustness of the proposed approach and its effectiveness in the delineation of line structures in different kinds of images.

Original languageEnglish
Title of host publication2017 International Work Conference on Bio-Inspired Intelligence
Subtitle of host publicationIntelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings
EditorsCarlos Manuel Travieso-Gonzalez, Fernando Morgado-Dias, Jesus B. Alonso-Hernandez
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5386-0850-0
ISBN (Print)978-1-5386-0851-7
DOIs
Publication statusPublished - 19 Jul 2017
Externally publishedYes
Event5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 - Funchal, Portugal
Duration: 10 Jul 201712 Jul 2017
Conference number: 5

Conference

Conference5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017
Abbreviated titleIWOBI
Country/TerritoryPortugal
CityFunchal
Period10/07/1712/07/17

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