Enhanced Hopfield network for morphologic image processing
Si Wei Lu, Dan R. Ghica · 2002
Hopfield networks are neural architectures remarkable by architectural simplicity and flexibility in usage. There are many areas in which Hopfield networks have been successfully applied, including associative memories, pattern recognition and artificial intelligence. This paper proposes a novel application of Hopfield networks in image processing, as morphologic filters, and illustrates the concept with a comprehensive example of a morphologic filter used for feature extraction.