4 March 1996 Relaxation matching by the Hopfield neural network
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Abstract
A method that makes the Hopfield neural network perform the point pattern relaxation matching process is proposed. An advantage of this is that the relaxation matching process can be performed in real time with the massively parallel capability to process information of the neural network. Experimental results with large simulated images prove the effectiveness and feasibility to perform point relaxation matching by the Hopfield neural network.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nong Sang, Tianxu Zhang, Luogang Wei, Guoyou Wang, "Relaxation matching by the Hopfield neural network", Proc. SPIE 2664, Applications of Artificial Neural Networks in Image Processing, (4 March 1996); doi: 10.1117/12.234255; https://doi.org/10.1117/12.234255
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KEYWORDS
Neural networks

Neurons

Data processing

Parallel computing

Computer simulations

Image processing

Process modeling

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