Skip to main content

Research Repository

Advanced Search

Artificial ants to extract leaf outlines and primary venation patterns

Mullen, Robert J.; Monekosso, Dorothy; Barman, Sarah; Remagnino, Paolo; Wilkin, Paul

Authors

Robert J. Mullen

Dorothy Monekosso

Sarah Barman

Paolo Remagnino

Paul Wilkin



Abstract

This paper presents preliminary results on an investigation into using artificial swarms to extract and quantify features in digital images. An ant algorithm has been developed to automatically extract the outlines and primary venation patterns from digital images of living leaf specimens via an edge detection method. A qualitative and quantitative analysis of the results is carried out herein. The artificial swarms are shown to converge onto the edges within the leaf images and statistical accuracy, as measured against ground truth images, is shown to increase in accordance with the swarm convergence. Visual results are promising, however limitations due to background noise need to be addressed for the given application. The findings in this study present potential for increased robustness in using swarm based methods, by exploiting their stigmergic behaviour to reduce the need for parameter fine-tuning with respect to individual image characteristics. © 2008 Springer-Verlag Berlin Heidelberg.

Citation

Mullen, R. J., Monekosso, D., Barman, S., Remagnino, P., & Wilkin, P. (2008). Artificial ants to extract leaf outlines and primary venation patterns. Lecture Notes in Artificial Intelligence, 5217 LNCS, 251-258. https://doi.org/10.1007/978-3-540-87527-7_24

Journal Article Type Conference Paper
Conference Name The 6th international conference on Ant Colony Optimization and Swarm Intelligence
Conference Location Brussels, Belgium
Publication Date Nov 26, 2008
Journal Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Print ISSN 0302-9743
Electronic ISSN 1611-3349
Publisher Springer Verlag
Peer Reviewed Not Peer Reviewed
Volume 5217 LNCS
Pages 251-258
ISBN ;
DOI https://doi.org/10.1007/978-3-540-87527-7_24
Keywords artificial ants, leaf outlines, primary venation patterns
Public URL https://uwe-repository.worktribe.com/output/1008967
Additional Information Additional Information : isbn: 978-3-540-87526-0
Title of Conference or Conference Proceedings : The 6th international conference on Ant Colony Optimization and Swarm Intelligence


Downloadable Citations