Reconstructing with moments

Rallis C. Papademetriou

doi:10.1109/ICPR.1992.202028

Reconstructing with moments

Rallis C. Papademetriou^*

^*Corresponding author for this work

Portsmouth Polytechnic

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

Abstract

The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.

Original language	English
Title of host publication	Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition
Subtitle of host publication	Conference C: Image, Speech, and Signal Analysis
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	476-480
Number of pages	5
Volume	3
ISBN (Print)	0818629207
DOIs	https://doi.org/10.1109/ICPR.1992.202028
Publication status	Published - 1992
Event	11th IAPR International Conference on Pattern Recognition - The Hague, Netherlands Duration: 30 Aug 1992 → 1 Sept 1992

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	3
ISSN (Print)	1051-4651

Conference

Conference	11th IAPR International Conference on Pattern Recognition
Abbreviated title	IAPR 1992
Country/Territory	Netherlands
City	The Hague
Period	30/08/92 → 1/09/92

Access to Document

10.1109/ICPR.1992.202028

Cite this

Papademetriou, R. C. (1992). Reconstructing with moments. In Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition: Conference C: Image, Speech, and Signal Analysis (Vol. 3, pp. 476-480). (Proceedings - International Conference on Pattern Recognition; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1992.202028

@inproceedings{a2ac806e4c944676a2254070a5a296d7,

title = "Reconstructing with moments",

abstract = "The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.",

author = "Papademetriou, {Rallis C.}",

year = "1992",

doi = "10.1109/ICPR.1992.202028",

language = "English",

isbn = "0818629207",

volume = "3",

series = "Proceedings - International Conference on Pattern Recognition",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "476--480",

booktitle = "Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition",

address = "United States",

note = "11th IAPR International Conference on Pattern Recognition, IAPR 1992 ; Conference date: 30-08-1992 Through 01-09-1992",

}

Papademetriou, RC 1992, Reconstructing with moments. in Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition: Conference C: Image, Speech, and Signal Analysis. vol. 3, Proceedings - International Conference on Pattern Recognition, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 476-480, 11th IAPR International Conference on Pattern Recognition, The Hague, Netherlands, 30/08/92. https://doi.org/10.1109/ICPR.1992.202028

Reconstructing with moments. / Papademetriou, Rallis C.
Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition: Conference C: Image, Speech, and Signal Analysis. Vol. 3 Institute of Electrical and Electronics Engineers Inc., 1992. p. 476-480 (Proceedings - International Conference on Pattern Recognition; Vol. 3).

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

TY - GEN

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N2 - The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.

AB - The relatively old problem of image reconstruction from a finite set of its geometric moments (inverse moment problem) is examined. The application of the information-theoretic method of Maximum Entropy (ME) is proposed and compared to the Legendre Moments (LM) approach. Several computer simulations are presented that demonstrate the superiority of the proposed technique. Tire comparative study is extended to include the case of noise-corrupted images.

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U2 - 10.1109/ICPR.1992.202028

DO - 10.1109/ICPR.1992.202028

M3 - Conference contribution

AN - SCOPUS:0005693738

SN - 0818629207

VL - 3

T3 - Proceedings - International Conference on Pattern Recognition

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BT - Proceedings, IAPR 1992 - 11th IAPR International Conference on Pattern Recognition

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IAPR International Conference on Pattern Recognition

Y2 - 30 August 1992 through 1 September 1992

ER -

Reconstructing with moments

Abstract

Publication series

Conference

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