Integral Spiral Image for Fast Hexagonal Image Processing

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

1 Citation (Scopus)

Abstract

A common requirement for image processing tasks is to achieve real-time performance. One approach towards achieving this for tradition rectangular pixel-based images is to use an integral image that enables feature extraction at multiple scales in a fast and efficient manner. Alternative research has introduced the concept of hexagonal pixel-based images that closely mimic the human visual system: a real-time visual system. To enhance real time capability, we present a novel integral image for hexagonal pixel based images and associated multi-scale operator implementation that significantly accelerates the feature detection process. We demonstrate that the use of integral images enables significantly faster computation than the use of conventional spiral convolution or the use of neighbourhood address look-up tables.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages532-541
Number of pages10
Volume8157
DOIs
Publication statusPublished - 9 Sep 2013
Event17th International Conference on Image Analysis and Processing - ICIAP 2013 - Naples, Italy
Duration: 9 Sep 2013 → …

Conference

Conference17th International Conference on Image Analysis and Processing - ICIAP 2013
Period9/09/13 → …

Fingerprint

Image processing
Pixels
Convolution
Feature extraction

Cite this

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title = "Integral Spiral Image for Fast Hexagonal Image Processing",
abstract = "A common requirement for image processing tasks is to achieve real-time performance. One approach towards achieving this for tradition rectangular pixel-based images is to use an integral image that enables feature extraction at multiple scales in a fast and efficient manner. Alternative research has introduced the concept of hexagonal pixel-based images that closely mimic the human visual system: a real-time visual system. To enhance real time capability, we present a novel integral image for hexagonal pixel based images and associated multi-scale operator implementation that significantly accelerates the feature detection process. We demonstrate that the use of integral images enables significantly faster computation than the use of conventional spiral convolution or the use of neighbourhood address look-up tables.",
author = "SA Coleman and BW Scotney and B Gardiner",
year = "2013",
month = "9",
day = "9",
doi = "10.1007/978-3-642-41184-7",
language = "English",
isbn = "978-3-642-41183-0",
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booktitle = "Unknown Host Publication",

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Coleman, SA, Scotney, BW & Gardiner, B 2013, Integral Spiral Image for Fast Hexagonal Image Processing. in Unknown Host Publication. vol. 8157, pp. 532-541, 17th International Conference on Image Analysis and Processing - ICIAP 2013, 9/09/13. https://doi.org/10.1007/978-3-642-41184-7

Integral Spiral Image for Fast Hexagonal Image Processing. / Coleman, SA; Scotney, BW; Gardiner, B.

Unknown Host Publication. Vol. 8157 2013. p. 532-541.

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

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