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Media type:
E-Article
Title:
Particle Swarm Contour Search Algorithm
Contributor:
Weikert, Dominik;
Mai, Sebastian;
Mostaghim, Sanaz
Published:
MDPI AG, 2020
Published in:
Entropy, 22 (2020) 4, Seite 407
Language:
English
DOI:
10.3390/e22040407
ISSN:
1099-4300
Origination:
Footnote:
Description:
In this article, we present a new algorithm called Particle Swarm Contour Search (PSCS)—a Particle Swarm Optimisation inspired algorithm to find object contours in 2D environments. Currently, most contour-finding algorithms are based on image processing and require a complete overview of the search space in which the contour is to be found. However, for real-world applications this would require a complete knowledge about the search space, which may not be always feasible or possible. The proposed algorithm removes this requirement and is only based on the local information of the particles to accurately identify a contour. Particles search for the contour of an object and then traverse alongside using their known information about positions in- and out-side of the object. Our experiments show that the proposed PSCS algorithm can deliver comparable results as the state-of-the-art.