Title :
Reconstructing with moments
Author :
Papademetriou, Rallis C.
Author_Institution :
Sch. of Syst. Eng., Portsmouth Univ., UK
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.202028
