Open Access

Automatic Target Detection Using Wavelet Transform

EURASIP Journal on Advances in Signal Processing20042004:853290

Received: 17 September 2003

Published: 27 December 2004


Automatic target recognition (ATR) involves processing images for detecting, classifying, and tracking targets embedded in a background scene. This paper presents an algorithm for detecting a specified set of target objects embedded in visual images for an ATR application. The developed algorithm employs a novel technique for automatically detecting man-made and non-man-made single, two, and multitargets from nontarget objects, located within a cluttered environment by evaluating nonoverlapping image blocks, where block-by-block comparison of wavelet cooccurrence feature is done. The results of the proposed algorithm are found to be satisfactory.

Keywords and phrases

discrete wavelet transform target detection texture wavelet cooccurrence features

Authors’ Affiliations

Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College
Department of Computer Science and Engineering, Government College of Engineering


© Arivazhagan and Ganesan 2004