Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages178-181
Number of pages4
Publication statusPublished - May 2009
EventIAPR Conference on Machine Vision and Applications (MVA 2009) - Yokohama, Japan
Duration: 1 May 2009 → …
http://www.mva-org.jp/

Conference

ConferenceIAPR Conference on Machine Vision and Applications (MVA 2009)
Period1/05/09 → …
Internet address

Fingerprint

Feature extraction
Image processing
Pixels

Cite this

@inproceedings{35c25022ea9a4683b6f540c94f7a5563,
title = "Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures",
abstract = "For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.",
author = "SA Coleman and BW Scotney and B Gardiner",
year = "2009",
month = "5",
language = "English",
pages = "178--181",
booktitle = "Unknown Host Publication",

}

Coleman, SA, Scotney, BW & Gardiner, B 2009, Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures. in Unknown Host Publication. pp. 178-181, IAPR Conference on Machine Vision and Applications (MVA 2009), 1/05/09.

Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures. / Coleman, SA; Scotney, BW; Gardiner, B.

Unknown Host Publication. 2009. p. 178-181.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Design of Feature Extraction Operators for use on Biologically Motivated Hexagonal Image Structures

AU - Coleman, SA

AU - Scotney, BW

AU - Gardiner, B

PY - 2009/5

Y1 - 2009/5

N2 - For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.

AB - For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.

M3 - Conference contribution

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EP - 181

BT - Unknown Host Publication

ER -