Automatic target-shape recognition via deformable wavelet templates

Jin Li; C.-C. Jay Kuo

doi:10.1117/12.241134

24 May 1996 Automatic target-shape recognition via deformable wavelet templates

Jin Li, C.-C. Jay Kuo

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241134
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

A deformable wavelet template (DWT) is proposed for object shape description in this research. Wavelet templates offer not only the global information at lower scales but also local features at higher differential scales. It provides a natural tool for multiresolution representation and can be used conveniently in a hierarchical matching procedure. We first address three main processing steps in the DWT-based ATR system for feature extraction. They are: (1) image preprocessing and target shape extraction, (2) shape feature normalization and (3) wavelet decomposition. Then, a multiscale matching procedure is discussed. The performance of the proposed algorithm is demonstrated with extensive experimental results.

Citation Download Citation

Jin Li and C.-C. Jay Kuo "Automatic target-shape recognition via deformable wavelet templates", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241134

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