Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment

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

6 Citations (Scopus)

Abstract

The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recently has the area of hexagonal image processing been investigated, where techniques such as rotation, scaling and edge detection have been implemented. In this paper, we present an approach to the development of multi-scale hexagonal gradient operators using the finite element framework. We apply these operators in a sub-pixel virtual hexagonal environment and provide both visual and quantitative results when comparing with standard rectangular image processing techniques.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsBW Scotney, PJ Morrow
Pages111-116
Number of pages6
DOIs
Publication statusPublished - Sep 2008
EventInternational Machine Vision and Image Processing Conference (IMVIP 2008) - Portrush, Northern Ireland
Duration: 1 Sep 2008 → …

Conference

ConferenceInternational Machine Vision and Image Processing Conference (IMVIP 2008)
Period1/09/08 → …

Fingerprint

Virtual reality
Feature extraction
Image processing
Pixels
Edge detection
Hardware

Cite this

Gardiner, B ; Coleman, SA ; Scotney, BW. / Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment. Unknown Host Publication. editor / BW Scotney ; PJ Morrow. 2008. pp. 111-116
@inproceedings{4a5190fcd1ba4939a8d63a2365f82953,
title = "Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment",
abstract = "The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recently has the area of hexagonal image processing been investigated, where techniques such as rotation, scaling and edge detection have been implemented. In this paper, we present an approach to the development of multi-scale hexagonal gradient operators using the finite element framework. We apply these operators in a sub-pixel virtual hexagonal environment and provide both visual and quantitative results when comparing with standard rectangular image processing techniques.",
author = "B Gardiner and SA Coleman and BW Scotney",
note = "Reference text: DONOTCHANGE",
year = "2008",
month = "9",
doi = "10.1109/IMVIP.2008.29",
language = "English",
pages = "111--116",
editor = "BW Scotney and PJ Morrow",
booktitle = "Unknown Host Publication",

}

Gardiner, B, Coleman, SA & Scotney, BW 2008, Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment. in BW Scotney & PJ Morrow (eds), Unknown Host Publication. pp. 111-116, International Machine Vision and Image Processing Conference (IMVIP 2008), 1/09/08. https://doi.org/10.1109/IMVIP.2008.29

Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment. / Gardiner, B; Coleman, SA; Scotney, BW.

Unknown Host Publication. ed. / BW Scotney; PJ Morrow. 2008. p. 111-116.

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

TY - GEN

T1 - Multi-scale Feature Extraction in a Sub-Pixel Virtual Hexagonal Environment

AU - Gardiner, B

AU - Coleman, SA

AU - Scotney, BW

N1 - Reference text: DONOTCHANGE

PY - 2008/9

Y1 - 2008/9

N2 - The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recently has the area of hexagonal image processing been investigated, where techniques such as rotation, scaling and edge detection have been implemented. In this paper, we present an approach to the development of multi-scale hexagonal gradient operators using the finite element framework. We apply these operators in a sub-pixel virtual hexagonal environment and provide both visual and quantitative results when comparing with standard rectangular image processing techniques.

AB - The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recently has the area of hexagonal image processing been investigated, where techniques such as rotation, scaling and edge detection have been implemented. In this paper, we present an approach to the development of multi-scale hexagonal gradient operators using the finite element framework. We apply these operators in a sub-pixel virtual hexagonal environment and provide both visual and quantitative results when comparing with standard rectangular image processing techniques.

UR - http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4624369

UR - http://ieeexplore.ieee.org/xpl/RecentCon.jsp?punumber=4624369

U2 - 10.1109/IMVIP.2008.29

DO - 10.1109/IMVIP.2008.29

M3 - Conference contribution

SP - 111

EP - 116

BT - Unknown Host Publication

A2 - Scotney, BW

A2 - Morrow, PJ

ER -