1 August 2004 Object recognition within cluttered scenes employing a hybrid optical neural network filter
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Optical Engineering, 43(8), (2004). doi:10.1117/1.1767194
Abstract
We propose a hybrid filter, which we call the hybrid optical neural network (HONN) filter. This filter combines the optical implementation and shift invariance of correlator-type filters with the nonlinear superposition capabilities of artificial neural network methods. The filter demonstrates good performance in maintaining high-quality correlation responses and resistance to clutter to nontraining in-class images at orientations intermediate to the training set poses. We present the design and implementation of the HONN filter architecture and assess its object recognition performance in clutter.
Ioannis I. Kypraios, Rupert C. D. Young, Philip M. Birch, Christopher R. Chatwin, "Object recognition within cluttered scenes employing a hybrid optical neural network filter," Optical Engineering 43(8), (1 August 2004). http://dx.doi.org/10.1117/1.1767194
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KEYWORDS
Image filtering

Optical filters

Nonlinear filtering

Neurons

Neural networks

Hybrid optics

Chlorine

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