Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)

Image Converting into Complex Networks : Scale- Level Segmentation Approach

Authors
Andrey Trufanov, Nikolay Kinash, Olga Berestneva, Alexei Tikhomirov, Alessandra Rossodivita
Corresponding Author
Andrey Trufanov
Available Online December 2017.
DOI
10.2991/itsmssm-17.2017.88How to use a DOI?
Keywords
images , complex networks, conversion, topology, segmentation , spatial scales
Abstract

Image analysis and recognition is being a contemporary domain for successful tries to apply complex networks as an instrument for thorough studies. Researchers noted that an image having traditionally converted into a network (i.e. taking into account Euclidean distance between pixels only) possesses nodes with similar number of admissible links and the concomitant graph demonstrates a regular topology. As a rule, pixel intensity difference is considered to escape regularity and reach complex property of the network. Contrary revealing more specific traits of an image current study proposes scale segmentation views -local, medium and global - for an image to build a genuine complex network. Case study with two sample images manifests how the scales are connected with formation of a network topology.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-432-3
ISSN
2352-538X
DOI
10.2991/itsmssm-17.2017.88How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Andrey Trufanov
AU  - Nikolay Kinash
AU  - Olga Berestneva
AU  - Alexei Tikhomirov
AU  - Alessandra Rossodivita
PY  - 2017/12
DA  - 2017/12
TI  - Image Converting into Complex Networks : Scale- Level Segmentation Approach
BT  - Proceedings of the IV International research conference "Information technologies in Science, Management, Social sphere and Medicine" (ITSMSSM 2017)
PB  - Atlantis Press
SP  - 417
EP  - 422
SN  - 2352-538X
UR  - https://doi.org/10.2991/itsmssm-17.2017.88
DO  - 10.2991/itsmssm-17.2017.88
ID  - Trufanov2017/12
ER  -