Acta Optica Sinica, Volume. 16, Issue 6, 763(1996)
Shift, Rotation Invariant Pattern Recognition Based on Morphology Pattern Spectrum and 2-D Vector Quantization Network and the Optical Implementation of 2-D Vector Quantization Network
In this paper, we propose a shift and rotation invariant pattern recognition architecture, using morphology pattern spectrum as image feature representation and 2-D vector quantization network as vector classifier. Morphology pattern spectrum is invariant not to image shift, but to image rotation when the structure element is rotationally symmetric. We use it constructing a feature vector of an image to train a 2-D vector quantization network. After training, it can implement the classification of feature vector. The optical implementation of the 2-D vector quantization network is dementrated and the experiment results are given.
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[in Chinese], [in Chinese], [in Chinese]. Shift, Rotation Invariant Pattern Recognition Based on Morphology Pattern Spectrum and 2-D Vector Quantization Network and the Optical Implementation of 2-D Vector Quantization Network[J]. Acta Optica Sinica, 1996, 16(6): 763