On image analysis by moments

Author

Liao, Simon X. ; Pawlak, Miroslaw

Author_Institution

Dept. of Bus. Comput., Winnipeg Univ., Man., Canada

Volume

18

Issue

3

fYear

1996

fDate

3/1/1996 12:00:00 AM

Firstpage

254

Lastpage

266

Abstract

Research has been performed investigating the use of moments for pattern recognition in recent years. The basic problem of the influence of discretization and noise on moment accuracy as object descriptors, has been barely investigated. In this paper, the detailed error analysis involved in the moment method is discussed. Several new techniques to increase the accuracy and efficiency of moment descriptor are proposed. We utilize these results for the problem of image reconstruction from the orthogonal Legendre moments computed from discrete and noisy data. The automatic selection of an optimal number of moments is also discussed

Keywords

computational geometry; error analysis; image reconstruction; method of moments; cross validation; error analysis; geometric moments; image analysis; image reconstruction; moment accuracy; object descriptors; orthogonal Legendre moments; pattern recognition; Character recognition; Computer errors; Error analysis; Image analysis; Image classification; Image reconstruction; Layout; Moment methods; Pattern analysis; Pattern recognition;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.485554

Filename

485554