The research of image segmentation algorithms based on Vilenkin-Crestensen functions

The research of image segmentation algorithms based on Vilenkin-Crestensen functions

The problem of Vilenkin-Crestenson functions (VCF) application to process aerospace images is considered. Theoretical grounds of VCF basis and its construction in the field of m-based numeric systems with operation of inversion by Walsh are discribed. Examples of basic functions system building on t...

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Main Authors: Kostrov Boris V., Babaev Sergey I., Svirina Anastasia G.
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:ITM Web of Conferences
Online Access:http://dx.doi.org/10.1051/itmconf/20160603007
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spelling doaj-ccbdffcb7c7a4eeea295efdf5dce0d742021-02-02T04:21:55ZengEDP SciencesITM Web of Conferences2271-20972016-01-0160300710.1051/itmconf/20160603007itmconf_ics2016_03007The research of image segmentation algorithms based on Vilenkin-Crestensen functionsKostrov Boris V.0Babaev Sergey I.1Svirina Anastasia G.2Ryazan state radioengineering university, Electronic computing machines departmentRyazan state radioengineering university, Electronic computing machines departmentRyazan state radioengineering university, Electronic computing machines departmentThe problem of Vilenkin-Crestenson functions (VCF) application to process aerospace images is considered. Theoretical grounds of VCF basis and its construction in the field of m-based numeric systems with operation of inversion by Walsh are discribed. Examples of basic functions system building on the basis of VCF with different bases and their application to image segmentation are shown. Avdvantages of using image segmentation algorithm based on VCF basis are discribed. Band pass spectrum restriction possibilities to highlight borders and edge the regions of similar density are given. Different forms of VCF spectrum restriction and its combinations with thier impact to image segmentation results are shown. Technical vision system application of sugested algorithm are shown. VCF basis abbility to highlight objects to be used in correlation-extreme navigation systems are shown. The experimental results of using VCF in comparasing with traditional Fourie basis are given.http://dx.doi.org/10.1051/itmconf/20160603007
collection DOAJ
language English
format Article
sources DOAJ
author Kostrov Boris V.
Babaev Sergey I.
Svirina Anastasia G.
spellingShingle Kostrov Boris V.
Babaev Sergey I.
Svirina Anastasia G.
The research of image segmentation algorithms based on Vilenkin-Crestensen functions
ITM Web of Conferences
author_facet Kostrov Boris V.
Babaev Sergey I.
Svirina Anastasia G.
author_sort Kostrov Boris V.
title The research of image segmentation algorithms based on Vilenkin-Crestensen functions
title_short The research of image segmentation algorithms based on Vilenkin-Crestensen functions
title_full The research of image segmentation algorithms based on Vilenkin-Crestensen functions
title_fullStr The research of image segmentation algorithms based on Vilenkin-Crestensen functions
title_full_unstemmed The research of image segmentation algorithms based on Vilenkin-Crestensen functions
title_sort research of image segmentation algorithms based on vilenkin-crestensen functions
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2016-01-01
description The problem of Vilenkin-Crestenson functions (VCF) application to process aerospace images is considered. Theoretical grounds of VCF basis and its construction in the field of m-based numeric systems with operation of inversion by Walsh are discribed. Examples of basic functions system building on the basis of VCF with different bases and their application to image segmentation are shown. Avdvantages of using image segmentation algorithm based on VCF basis are discribed. Band pass spectrum restriction possibilities to highlight borders and edge the regions of similar density are given. Different forms of VCF spectrum restriction and its combinations with thier impact to image segmentation results are shown. Technical vision system application of sugested algorithm are shown. VCF basis abbility to highlight objects to be used in correlation-extreme navigation systems are shown. The experimental results of using VCF in comparasing with traditional Fourie basis are given.
url http://dx.doi.org/10.1051/itmconf/20160603007
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