Brain-inspired robust delineation operator

Nicola Strisciuglio; George Azzopardi; Nicolai Petkov

doi:10.1007/978-3-030-11015-4_41

Brain-inspired robust delineation operator

Nicola Strisciuglio^*, George Azzopardi, Nicolai Petkov

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

1 Downloads (Pure)

Abstract

In this paper we present a novel filter, based on the existing COSFIRE filter, for the delineation of patterns of interest. It includes a mechanism of push-pull inhibition that improves robustness to noise in terms of spurious texture. Push-pull inhibition is a phenomenon that is observed in neurons in area V1 of the visual cortex, which suppresses the response of certain simple cells for stimuli of preferred orientation but of non-preferred contrast. This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture. We performed experiments on images from different applications, namely the detection of rose stems for automatic gardening, the delineation of cracks in pavements and road surfaces, and the segmentation of blood vessels in retinal images. Push-pull inhibition helped to improve results considerably in all applications.

Original language	English
Title of host publication	Computer Vision – ECCV 2018 Workshops, Proceedings
Editors	Laura Leal-Taixé, Stefan Roth
Publisher	Springer
Pages	555-565
Number of pages	11
ISBN (Electronic)	978-3-030-11015-4
ISBN (Print)	978-3-030-11014-7
DOIs	https://doi.org/10.1007/978-3-030-11015-4_41
Publication status	Published - 23 Jan 2019
Externally published	Yes
Event	15th European Conference on Computer Vision, ECCV 2018 - Munich, Germany Duration: 8 Sept 2018 → 14 Sept 2018 Conference number: 15

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11131 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th European Conference on Computer Vision, ECCV 2018
Abbreviated title	ECCV 2018
Country/Territory	Germany
City	Munich
Period	8/09/18 → 14/09/18

Keywords

COSFIRE filter
Delineation push-pull inhibition
n/a OA procedure

Access to Document

10.1007/978-3-030-11015-4_41

Cite this

Strisciuglio, N., Azzopardi, G., & Petkov, N. (2019). Brain-inspired robust delineation operator. In L. Leal-Taixé, & S. Roth (Eds.), Computer Vision – ECCV 2018 Workshops, Proceedings (pp. 555-565). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11131 LNCS). Springer. https://doi.org/10.1007/978-3-030-11015-4_41

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title = "Brain-inspired robust delineation operator",

abstract = "In this paper we present a novel filter, based on the existing COSFIRE filter, for the delineation of patterns of interest. It includes a mechanism of push-pull inhibition that improves robustness to noise in terms of spurious texture. Push-pull inhibition is a phenomenon that is observed in neurons in area V1 of the visual cortex, which suppresses the response of certain simple cells for stimuli of preferred orientation but of non-preferred contrast. This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture. We performed experiments on images from different applications, namely the detection of rose stems for automatic gardening, the delineation of cracks in pavements and road surfaces, and the segmentation of blood vessels in retinal images. Push-pull inhibition helped to improve results considerably in all applications.",

keywords = "COSFIRE filter, Delineation push-pull inhibition, n/a OA procedure",

author = "Nicola Strisciuglio and George Azzopardi and Nicolai Petkov",

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doi = "10.1007/978-3-030-11015-4_41",

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note = "15th European Conference on Computer Vision, ECCV 2018, ECCV 2018 ; Conference date: 08-09-2018 Through 14-09-2018",

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Strisciuglio, N, Azzopardi, G & Petkov, N 2019, Brain-inspired robust delineation operator. in L Leal-Taixé & S Roth (eds), Computer Vision – ECCV 2018 Workshops, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11131 LNCS, Springer, pp. 555-565, 15th European Conference on Computer Vision, ECCV 2018, Munich, Germany, 8/09/18. https://doi.org/10.1007/978-3-030-11015-4_41

Brain-inspired robust delineation operator. / Strisciuglio, Nicola; Azzopardi, George; Petkov, Nicolai.
Computer Vision – ECCV 2018 Workshops, Proceedings. ed. / Laura Leal-Taixé; Stefan Roth. Springer, 2019. p. 555-565 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11131 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Brain-inspired robust delineation operator

AU - Strisciuglio, Nicola

AU - Azzopardi, George

AU - Petkov, Nicolai

N1 - Conference code: 15

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N2 - In this paper we present a novel filter, based on the existing COSFIRE filter, for the delineation of patterns of interest. It includes a mechanism of push-pull inhibition that improves robustness to noise in terms of spurious texture. Push-pull inhibition is a phenomenon that is observed in neurons in area V1 of the visual cortex, which suppresses the response of certain simple cells for stimuli of preferred orientation but of non-preferred contrast. This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture. We performed experiments on images from different applications, namely the detection of rose stems for automatic gardening, the delineation of cracks in pavements and road surfaces, and the segmentation of blood vessels in retinal images. Push-pull inhibition helped to improve results considerably in all applications.

AB - In this paper we present a novel filter, based on the existing COSFIRE filter, for the delineation of patterns of interest. It includes a mechanism of push-pull inhibition that improves robustness to noise in terms of spurious texture. Push-pull inhibition is a phenomenon that is observed in neurons in area V1 of the visual cortex, which suppresses the response of certain simple cells for stimuli of preferred orientation but of non-preferred contrast. This type of inhibition allows for sharper detection of the patterns of interest and improves the quality of delineation especially in images with spurious texture. We performed experiments on images from different applications, namely the detection of rose stems for automatic gardening, the delineation of cracks in pavements and road surfaces, and the segmentation of blood vessels in retinal images. Push-pull inhibition helped to improve results considerably in all applications.

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KW - n/a OA procedure

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M3 - Conference contribution

AN - SCOPUS:85061708494

SN - 978-3-030-11014-7

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computer Vision – ECCV 2018 Workshops, Proceedings

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Y2 - 8 September 2018 through 14 September 2018

ER -

Brain-inspired robust delineation operator

Abstract

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Keywords

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