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

Chris Messom; Andre Barczak

doi:10.1007/978-3-642-02490-0_133

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

Chris Messom, Andre Barczak

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-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 language	English
Title of host publication	Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages	1095-1102
Number of pages	8
Volume	5506 LNCS
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-02490-0_133
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Neural Information Processing 2008 - Auckland, New Zealand Duration: 25 Nov 2008 → 28 Nov 2008 Conference number: 15th https://link.springer.com/book/10.1007/978-3-642-02490-0 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5506 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	International Conference on Neural Information Processing 2008
Abbreviated title	ICONIP 2008
Country/Territory	New Zealand
City	Auckland
Period	25/11/08 → 28/11/08
Internet address	https://link.springer.com/book/10.1007/978-3-642-02490-0 (Proceedings)

Access to Document

10.1007/978-3-642-02490-0_133

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

Messom, Chris ; Barczak, Andre. / Stream processing of geometric and central moments using high precision summed area tables. Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. Vol. 5506 LNCS PART 1. ed. 2009. pp. 1095-1102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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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.",

author = "Chris Messom and Andre Barczak",

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booktitle = "Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers",

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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 edn, vol. 5506 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5506 LNCS, pp. 1095-1102, International Conference on Neural Information Processing 2008, Auckland, New Zealand, 25/11/08. https://doi.org/10.1007/978-3-642-02490-0_133

Stream processing of geometric and central moments using high precision summed area tables. / Messom, Chris; Barczak, Andre.
Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. Vol. 5506 LNCS PART 1. ed. 2009. p. 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).

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

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T1 - Stream processing of geometric and central moments using high precision summed area tables

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AU - Barczak, Andre

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AB - 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.

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DO - 10.1007/978-3-642-02490-0_133

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SN - 3642024890

SN - 9783642024894

VL - 5506 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - International Conference on Neural Information Processing 2008

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Messom C, Barczak A. 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. 2009. p. 1095-1102. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-02490-0_133

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

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