Coarse Scale Feature Extraction Using the Spiral Architecture Structure

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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 languageEnglish
Title of host publicationUnknown Host Publication
PublisherInternational Association of Pattern Recognition
Pages2370-2373
Number of pages4
ISBN (Print)1051-4651/10
DOIs
Publication statusPublished - 23 Aug 2010
EventIntenational Conference on Pattern Recognition - Turkey
Duration: 23 Aug 2010 → …

Conference

ConferenceIntenational Conference on Pattern Recognition
Period23/08/10 → …

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  • Cite this

    Coleman, SA., Gardiner, B., & Scotney, BW. (2010). Coarse Scale Feature Extraction Using the Spiral Architecture Structure. In Unknown Host Publication (pp. 2370-2373). International Association of Pattern Recognition. https://doi.org/10.1109/ICPR.2010.580