Coarse Scale Feature Extraction Using the Spiral Architecture Structure

SA Coleman; B Gardiner; BW Scotney

doi:10.1109/ICPR.2010.580

Coarse Scale Feature Extraction Using the Spiral Architecture Structure

SA Coleman, B Gardiner, BW Scotney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The Spiral Architecture has been developed as a fast way ofindexing a hexagonal pixel-based image. In combinationwith spiral addition and spiral multiplication, methods havebeen developed for hexagonal image processing operationssuch as translation and rotation. Using the SpiralArchitecture as the basis for our operator structure, wepresent a general approach to the computation of adaptivecoarse scale Laplacian operators for use on hexagonal pixelbasedimages. We evaluate the proposed operators usingsimulated hexagonal images and demonstrate improvedperformance when compared with rectangular Laplacianoperators such as Marr-Hildreth.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	International Association of Pattern Recognition
Pages	2370-2373
Number of pages	4
ISBN (Print)	1051-4651/10
DOIs	https://doi.org/10.1109/ICPR.2010.580
Publication status	Published (in print/issue) - 23 Aug 2010
Event	Intenational Conference on Pattern Recognition - Turkey Duration: 23 Aug 2010 → …

Conference

Conference	Intenational Conference on Pattern Recognition
Period	23/08/10 → …

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10.1109/ICPR.2010.580

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title = "Coarse Scale Feature Extraction Using the Spiral Architecture Structure",

abstract = "The Spiral Architecture has been developed as a fast way ofindexing a hexagonal pixel-based image. In combinationwith spiral addition and spiral multiplication, methods havebeen developed for hexagonal image processing operationssuch as translation and rotation. Using the SpiralArchitecture as the basis for our operator structure, wepresent a general approach to the computation of adaptivecoarse scale Laplacian operators for use on hexagonal pixelbasedimages. We evaluate the proposed operators usingsimulated hexagonal images and demonstrate improvedperformance when compared with rectangular Laplacianoperators such as Marr-Hildreth.",

author = "SA Coleman and B Gardiner and BW Scotney",

year = "2010",

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doi = "10.1109/ICPR.2010.580",

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publisher = "International Association of Pattern Recognition",

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T1 - Coarse Scale Feature Extraction Using the Spiral Architecture Structure

AU - Coleman, SA

AU - Gardiner, B

AU - Scotney, BW

PY - 2010/8/23

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N2 - The Spiral Architecture has been developed as a fast way ofindexing a hexagonal pixel-based image. In combinationwith spiral addition and spiral multiplication, methods havebeen developed for hexagonal image processing operationssuch as translation and rotation. Using the SpiralArchitecture as the basis for our operator structure, wepresent a general approach to the computation of adaptivecoarse scale Laplacian operators for use on hexagonal pixelbasedimages. We evaluate the proposed operators usingsimulated hexagonal images and demonstrate improvedperformance when compared with rectangular Laplacianoperators such as Marr-Hildreth.

AB - The Spiral Architecture has been developed as a fast way ofindexing a hexagonal pixel-based image. In combinationwith spiral addition and spiral multiplication, methods havebeen developed for hexagonal image processing operationssuch as translation and rotation. Using the SpiralArchitecture as the basis for our operator structure, wepresent a general approach to the computation of adaptivecoarse scale Laplacian operators for use on hexagonal pixelbasedimages. We evaluate the proposed operators usingsimulated hexagonal images and demonstrate improvedperformance when compared with rectangular Laplacianoperators such as Marr-Hildreth.

U2 - 10.1109/ICPR.2010.580

DO - 10.1109/ICPR.2010.580

M3 - Conference contribution

SN - 1051-4651/10

SP - 2370

EP - 2373

BT - Unknown Host Publication

PB - International Association of Pattern Recognition

T2 - Intenational Conference on Pattern Recognition

Y2 - 23 August 2010

ER -

Coarse Scale Feature Extraction Using the Spiral Architecture Structure

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