Automatic Target Shape Recognition Via Deformable Wavelet Templates

In this research, we propose the deformable wavelet template (DWT) for object shape description. DWT offers not only the global information at the lower scales, but also local features at higher differential scales. Thus, it provides a natural tool for multiresolution representation and can be used conveniently in a hierarchical matching procedure. In the presentation, we address the three main processing steps in the DWT-based ATR algorithm. They are namely, 1) image preprocessing and target shape extraction, 2) shape feature normalization, 3) wavelet decomposition. The topic of multiscale matching is also touched. We demonstrate the performance of our proposed algorithm with extensive experimental results in the presentation.