Moment invariants and quantization effects

Author

Salarna, G.I. ; Abbott, A. Lynn

Author_Institution

Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA

fYear

1998

fDate

23-25 Jun 1998

Firstpage

157

Lastpage

163

Abstract

This paper considers the effect of spatial quantization on several moment invariants. Of particular interest are the affine moment invariants, which have emerged in recent years as a useful tool for image reconstruction, image registration, and recognition of deformed objects. Traditional analysis assumes moments and moment invariants for images that are defined in the continuous domain. In practice, however, the digitization process introduces errors that violate the invariance assumption. This paper presents an analysis of quantization-induced error on (two-dimensional) Hu moment invariants and affine moment invariants, and on invariants derived from (one-dimensional) contour moments. Error bounds are given in several cases

Keywords

image reconstruction; image registration; object recognition; quantisation (signal); Hu moment invariants; affine moment invariants; deformed object recognition; digitization process; image reconstruction; image registration; invariance assumption; one-dimensional contour moments; quantization effects; quantization-induced error; spatial quantization; Ambient intelligence; Digital systems; Electrical capacitance tomography; Error analysis; Image analysis; Image recognition; Image reconstruction; Image registration; Quantization; Read only memory;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on

Conference_Location

Santa Barbara, CA

ISSN

1063-6919

Print_ISBN

0-8186-8497-6

Type

conf

DOI

10.1109/CVPR.1998.698603

Filename

698603