A comparative study of Zernike moments

Author

Lin, Tsong-Wuu ; Chou, Yun-Feng

Author_Institution

Dept. of Comput. & Inf. Sci., Soochow Univ., Taipei, Taiwan

fYear

2003

fDate

13-17 Oct. 2003

Firstpage

516

Lastpage

519

Abstract

Effective image retrieval by content requires that visual image properties are used instead of textual labels to properly index pictorial data. Shape is one of the primary low-level image features. Many shape representations had been proposed. The Zernike moment descriptor is the most suitable for shape similar-based retrieval in terms of computation complexity, compact representation, robustness, and retrieval performance. We study the first 36 Zernike moments and find the dependence relations between them. A new compact representation is proposed to replace the old one. It is not only saving storage capacity but also reducing the execution time of index generation.

Keywords

computational complexity; content-based retrieval; image retrieval; CBIR; Zernike moment; compact representation; computation complexity; correlation analysis; dependence relation; image retrieval; index generation; pictorial data; robustness; shape representation; Computer displays; Content based retrieval; Content management; Image retrieval; Information retrieval; Information science; Internet; Object recognition; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence, 2003. WI 2003. Proceedings. IEEE/WIC International Conference on

Print_ISBN

0-7695-1932-6

Type

conf

DOI

10.1109/WI.2003.1241255

Filename

1241255