Biologically Motivated Feature Extraction

SA Coleman; BW Scotney; B Gardiner

doi:10.1007/978-3-642-24085-0_62

Biologically Motivated Feature Extraction

SA Coleman, BW Scotney, B Gardiner

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

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Abstract

We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping Laplacian masks. We generate seven feature maps “a-trous” that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Springer
Pages	605-615
Number of pages	10
Volume	6978/2
ISBN (Print)	978-3-642-24084-3
DOIs	https://doi.org/10.1007/978-3-642-24085-0_62
Publication status	Published (in print/issue) - 14 Sept 2011
Event	16th International Conference on Image Analysis and Processing - Ravenna, Italy Duration: 14 Sept 2011 → …

Conference

Conference	16th International Conference on Image Analysis and Processing
Period	14/09/11 → …

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10.1007/978-3-642-24085-0_62

Cite this

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title = "Biologically Motivated Feature Extraction",

abstract = "We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping Laplacian masks. We generate seven feature maps “a-trous” that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images",

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

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AU - Scotney, BW

AU - Gardiner, B

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N2 - We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping Laplacian masks. We generate seven feature maps “a-trous” that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images

AB - We present a biologically motivated approach to fast feature extraction on hexagonal pixel based images using the concept of eye tremor in combination with the use of the spiral architecture and convolution of non-overlapping Laplacian masks. We generate seven feature maps “a-trous” that can be combined into a single complete feature map, and we demonstrate that this approach is significantly faster than the use of conventional spiral convolution or the use of a neighbourhood address look-up table on hexagonal images

U2 - 10.1007/978-3-642-24085-0_62

DO - 10.1007/978-3-642-24085-0_62

M3 - Conference contribution

SN - 978-3-642-24084-3

VL - 6978/2

SP - 605

EP - 615

BT - Unknown Host Publication

PB - Springer

T2 - 16th International Conference on Image Analysis and Processing

Y2 - 14 September 2011

ER -

Biologically Motivated Feature Extraction

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