DocumentCode
3062774
Title
Reconstructing with moments
Author
Papademetriou, Rallis C.
Author_Institution
Sch. of Syst. Eng., Portsmouth Univ., UK
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
476
Lastpage
480
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. The comparative study is extended to include the case of noise-corrupted images
Keywords
data compression; entropy; image reconstruction; inverse problems; Legendre moments; compression ratios; computer simulations; geometric moments; image reconstruction; information-theoretic method; inverse moment problem; maximum entropy; noise-corrupted images; Application software; Computer simulation; Entropy; Image recognition; Image reconstruction; Image segmentation; Pattern recognition; Polynomials; Statistics; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.202028
Filename
202028
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