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Evolutionary Landscape and Management of Population Diversity Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Medical Image Processing: A Brief Survey and a New Theoretical Hybrid ACO Model

Authors : Camelia-M. Pintea, Cristina Ticala

Published in: Combinations of Intelligent Methods and Applications

Publisher: Springer International Publishing

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Abstract

The current paper includes a brief survey on image processing, in particular for medical image processing, including the main algorithms on segmentation and margin detection. Both mathematical background and algorithms are detailed. Some of the most efficient ant-based algorithms used for image processing are also described. It is also introduced a new theoretical hybrid Ant Colony Optimization model in order to enhance medical image processing. The newly introduced model uses artificial ants with different levels of “sensitivity” and also a model of “direct” communication as in Multi-Agent Systems.

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Metadata
Title
Medical Image Processing: A Brief Survey and a New Theoretical Hybrid ACO Model
Authors
Camelia-M. Pintea
Cristina Ticala
Copyright Year
2016
Book
Combinations of Intelligent Methods and Applications

Print ISBN: 978-3-319-26858-3

Electronic ISBN: 978-3-319-26860-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26860-6_7

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