Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture

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

4 Citations (Scopus)

Abstract

We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages1961-1964
Number of pages4
DOIs
Publication statusPublished - Sep 2010
Event17th IEEE International Conference on Image Processing (ICIP 2010) - Hong Kong
Duration: 1 Sep 2010 → …

Conference

Conference17th IEEE International Conference on Image Processing (ICIP 2010)
Period1/09/10 → …

Fingerprint

Edge detection
Mathematical operators
Pixels
Finite element method

Keywords

  • Hexagonal images
  • spiral architecture
  • tri-directional operators
  • adaptive operators
  • image gradient operators
  • feature extraction

Cite this

@inproceedings{ed7a37f1e58745ddaa755b5b29c2bda0,
title = "Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture",
abstract = "We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.",
keywords = "Hexagonal images, spiral architecture, tri-directional operators, adaptive operators, image gradient operators, feature extraction",
author = "SA Coleman and B Gardiner and BW Scotney",
year = "2010",
month = "9",
doi = "10.1109/ICIP.2010.5650008",
language = "English",
pages = "1961--1964",
booktitle = "Unknown Host Publication",

}

Coleman, SA, Gardiner, B & Scotney, BW 2010, Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture. in Unknown Host Publication. pp. 1961-1964, 17th IEEE International Conference on Image Processing (ICIP 2010), 1/09/10. https://doi.org/10.1109/ICIP.2010.5650008

Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture. / Coleman, SA; Gardiner, B; Scotney, BW.

Unknown Host Publication. 2010. p. 1961-1964.

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

TY - GEN

T1 - Adaptive Tri-direction Edge Detection Operators based on the Spiral Architecture

AU - Coleman, SA

AU - Gardiner, B

AU - Scotney, BW

PY - 2010/9

Y1 - 2010/9

N2 - We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.

AB - We present a general approach to the computation of adaptive tri-directional operators for use on hexagonal pixel-based images, based on the spiral architecture. We show that the use of Gaussian basis functions within the finite element method provides a framework for a systematic design procedure for operators that are adaptive to spiral neighbourhoods through the use of an explicit scale parameter. We evaluate the proposed operators using simulated hexagonal images and provide comparative results with the use of traditional rectangular operators.

KW - Hexagonal images

KW - spiral architecture

KW - tri-directional operators

KW - adaptive operators

KW - image gradient operators

KW - feature extraction

U2 - 10.1109/ICIP.2010.5650008

DO - 10.1109/ICIP.2010.5650008

M3 - Conference contribution

SP - 1961

EP - 1964

BT - Unknown Host Publication

ER -