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2017 | OriginalPaper | Chapter

10. Artificial Bee Colony Algorithm Applied to Multi-threshold Segmentation

Authors : Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas

Published in: Engineering Applications of Soft Computing

Publisher: Springer International Publishing

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Abstract

Image segmentation is a very important task in Computer Vision community, due to its capabilities for further steps that lead to recognizing patterns in digital images. Thus, the process of thresholding selection has become an interesting area, in recent years this procedure has been investigated as an optimization problem. On the other Hand, ABC is a nature inspired algorithm based on the intelligent behaviour of honey-bees which has been successfully used to solve complex real life optimization problems.

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Metadata
Title
Artificial Bee Colony Algorithm Applied to Multi-threshold Segmentation
Authors
Margarita-Arimatea Díaz-Cortés
Erik Cuevas
Raúl Rojas
Copyright Year
2017
Book
Engineering Applications of Soft Computing

Print ISBN: 978-3-319-57812-5

Electronic ISBN: 978-3-319-57813-2

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-57813-2_10

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