loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Branko Brkljač ; Marko Panić ; Dubravko Ćulibrk ; Vladimir Crnojević ; Jelena Ačanski and Ante Vujić

Affiliation: University of Novi Sad, Serbia

Keyword(s): Species discrimination, Wing venation, Junctions detection, Support vector machine, HOG, LBP.

Related Ontology Subjects/Areas/Topics: Applications ; Bioinformatics and Systems Biology ; Data Engineering ; Information Retrieval ; Ontologies and the Semantic Web ; Pattern Recognition ; Software Engineering

Abstract: An novel approach to automatic hoverfly species discrimination based on detection and extraction of vein junctions in wing venation patterns of insects is presented in the paper. The dataset used in our experiments consists of high resolution microscopic wing images of several hoverfly species collected over a relatively long period of time at different geographic locations. Junctions are detected using histograms of oriented gradients and local binary patterns features. The features are used to train an SVM classifier to detect junctions in wing images. Once the junctions are identified they are used to extract simple statistics concerning the distances of these points from the centroid. Such simple features can be used to achieve automatic discrimination of four selected hoverfly species, using a Multi Layer Perceptron (MLP) neural network classifier. The proposed approach achieves classification accuracy of environ 71%.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 107.23.157.16

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Brkljač, B.; Panić, M.; Ćulibrk, D.; Crnojević, V.; Ačanski, J. and Vujić, A. (2012). AUTOMATIC HOVERFLY SPECIES DISCRIMINATION. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 108-115. DOI: 10.5220/0003756601080115

@conference{icpram12,
author={Branko Brkljač. and Marko Panić. and Dubravko Ćulibrk. and Vladimir Crnojević. and Jelena Ačanski. and Ante Vujić.},
title={AUTOMATIC HOVERFLY SPECIES DISCRIMINATION},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2012},
pages={108-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003756601080115},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - AUTOMATIC HOVERFLY SPECIES DISCRIMINATION
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Brkljač, B.
AU - Panić, M.
AU - Ćulibrk, D.
AU - Crnojević, V.
AU - Ačanski, J.
AU - Vujić, A.
PY - 2012
SP - 108
EP - 115
DO - 10.5220/0003756601080115
PB - SciTePress