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

Chris Messom, Andre Barczak

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-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
Pages1095-1102
Number of pages8
Volume5506 LNCS
EditionPART 1
DOIs
Publication statusPublished - 2009
Externally publishedYes
EventInternational Conference on Neural Information Processing 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)03029743
ISSN (Electronic)16113349

Conference

ConferenceInternational Conference on Neural Information Processing 2008
Abbreviated titleICONIP
CountryNew Zealand
CityAuckland
Period25/11/0828/11/08

Cite this

Messom, C., & Barczak, A. (2009). Stream processing of geometric and central moments using high precision summed area tables. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 1 ed., Vol. 5506 LNCS, pp. 1095-1102). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02490-0_133