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 language | English |
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Title of host publication | 2017 International Work Conference on Bio-Inspired Intelligence |
Subtitle of host publication | Intelligent Systems for Biodiversity Conservation, IWOBI 2017 - Proceedings |
Editors | Carlos Manuel Travieso-Gonzalez, Fernando Morgado-Dias, Jesus B. Alonso-Hernandez |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5386-0850-0 |
ISBN (Print) | 978-1-5386-0851-7 |
DOIs | |
Publication status | Published - 19 Jul 2017 |
Externally published | Yes |
Event | 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 - Funchal, Portugal Duration: 10 Jul 2017 → 12 Jul 2017 Conference number: 5 |
Conference
Conference | 5th IEEE International Work Conference on Bio-Inspired Intelligence, IWOBI 2017 |
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Abbreviated title | IWOBI |
Country/Territory | Portugal |
City | Funchal |
Period | 10/07/17 → 12/07/17 |