Automatic target-shape recognition via deformable wavelet templates
作者： Jin Li , C.-C. Jay Kuo
DOI: 10.1117/12.241134
关键词:
摘要: 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 higher differential scales. It provides a natural tool multiresolution representation and can be used conveniently hierarchical matching procedure. We first address three main processing steps DWT-based ATR system feature extraction. They are: (1) image preprocessing target extraction, (2) normalization (3) decomposition. Then, multiscale procedure discussed. The performance of algorithm demonstrated with extensive experimental results.
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