Stream processing of geometric and central moments using high precision summed area tables

Chris Messom*, Andre Barczak

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

4 Citations (Scopus)

Abstract

This paper introduces a stream programming based design of the zero and higher order central moments that use an integral image or summed area data structure of geometric moments. The stream programming algorithm runs on a general purpose graphics processing unit (GPGPU) that are becoming commodity hardware, giving real-time performance even for large image sizes and a large number of scan window sizes.

Original languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
EditorsMario Köppen, Nikola Kasabov, George Coghill
PublisherSpringer
Pages1095-1102
Number of pages8
EditionPART 1
ISBN (Print)3642024890, 9783642024894
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
Duration: 25 Nov 200828 Nov 2008
Conference number: 15th

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Neuro-Information Processing, ICONIP 2008
Abbreviated titleICONIP 2008
Country/TerritoryNew Zealand
CityAuckland
Period25/11/0828/11/08

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