Fast Multiscale Operator Development For Hexagonal Images

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

4 Citations (Scopus)

Abstract

For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages282-291
Number of pages10
DOIs
Publication statusPublished - Sep 2009
Event1st Annual Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2009) - Jena, Germany
Duration: 1 Sep 2009 → …

Conference

Conference1st Annual Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2009)
Period1/09/09 → …

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Pixels
Image processing

Cite this

@inproceedings{2cb67902b22c43cfb4b499183b3727af,
title = "Fast Multiscale Operator Development For Hexagonal Images",
abstract = "For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.",
author = "B Gardiner and SA Coleman and BW Scotney",
year = "2009",
month = "9",
doi = "10.1007/978-3-642-03798-6_29",
language = "English",
pages = "282--291",
booktitle = "Unknown Host Publication",

}

Gardiner, B, Coleman, SA & Scotney, BW 2009, Fast Multiscale Operator Development For Hexagonal Images. in Unknown Host Publication. pp. 282-291, 1st Annual Pattern Recognition Symposium of the German Association for Pattern Recognition (DAGM 2009), 1/09/09. https://doi.org/10.1007/978-3-642-03798-6_29

Fast Multiscale Operator Development For Hexagonal Images. / Gardiner, B; Coleman, SA; Scotney, BW.

Unknown Host Publication. 2009. p. 282-291.

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

TY - GEN

T1 - Fast Multiscale Operator Development For Hexagonal Images

AU - Gardiner, B

AU - Coleman, SA

AU - Scotney, BW

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N2 - For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.

AB - For many years the concept of using hexagonal pixels for image capture has been investigated, and several advantages of such an approach have been highlighted. Recently there has been a renewed interested in using hexagonal pixel based images for various image processing tasks. Therefore, we present a design procedure for scalable hexagonal gradient operators, developed within the finite element framework, for use on hexagonal pixel based images. We highlight the efficiency of our approach, based on computing just one small neighbourhood operator and generating larger scale operators via linear additions of the small operator. We also demonstrate that scaled salient feature maps can be generated from one low level feature map without the need for application of larger operators.

UR - http://dx.doi.org/10.1007/978-3-642-03798-6

UR - http://dx.doi.org/10.1007/978-3-642-03798-6

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DO - 10.1007/978-3-642-03798-6_29

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BT - Unknown Host Publication

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