Object identification using the dyadic wavelet transform and indexing techniques

Author

Tieng, Quang Minh ; Boles, W.W.

Author_Institution

Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

4

fYear

1995

fDate

9-12 May 1995

Firstpage

2475

Abstract

A wavelet based representation of planar objects is introduced. Based on this representation, a matching algorithm using indexing techniques is also developed for identifying unknown objects. Rather than considering all points on the representation, only extrema are used in constructing the look-up table and for matching. Simulations demonstrate that the proposed algorithm is effective and accurate in classifying objects under similarity transformations and in a noisy environment

Keywords

image classification; image matching; image representation; object recognition; table lookup; wavelet transforms; dyadic wavelet indexing; dyadic wavelet transform; extrema magnitude; indexing techniques; look-up table; matching algorithm; noisy environment; object classification; object identification; planar objects; simulations; wavelet based representation; Australia; Image edge detection; Indexing; Noise shaping; Shape; Signal processing; Signal processing algorithms; Table lookup; Wavelet transforms; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.480050

Filename

480050