Ant algorithms for image feature extraction

Monekosso, Dorothy N.; Mullen, Rob J.; Monekosso, Dorothy; Remagnino, Paolo

Abstract

This paper extends on previous work in applying an ant algorithm to image feature extraction, focusing on edge pattern extraction, as well as the broader study of self-organisation mechanisms in digital image environments. A novel method of distributed adaptive thresholding is introduced to the ant algorithm, which enables automated distributed adaptive thresholding across the swarm. This technique is shown to increase performance of the algorithm, and furthermore, eliminates the requirement for a user set threshold, allowing the algorithm to autonomously adapt an appropriate threshold for a given image, or data set. Additionally this approach is extended to allow for simultaneous multiple-swarm multiple-feature extraction, as well as dynamic adaptation to changing imagery. © 2013 Elsevier Ltd. All rights reserved.

• Journal Article Type: Article
• Publication Date: Sep 1, 2013
• Journal: Expert Systems with Applications
• Print ISSN: 0957-4174
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 40
• Issue: 11
• Pages: 4315-4332
• DOI: https://doi.org/10.1016/j.eswa.2013.01.020
• Keywords: ant algorithm, swarm intelligence, feature extraction, ; image processing
• Public URL: https://uwe-repository.worktribe.com/output/935044
• Publisher URL: http://dx.doi.org/10.1016/j.eswa.2013.01.020
• Additional Information: Additional Information : published online, ahead of print copy