A shape classifier based on Hopfield-Amari network

The representation and recognition of a planar shape based on contour information is an important issue in computer vision. We propose a method for extracting the main features of a contour using the curve bend function (CBF), which can be used to characterize the contour completely. A Hopfield-Amar...

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Bibliographische Detailangaben

Hauptverfasser:	Fu, A.M.N., Hong Yan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Associative memory Computer vision Counting circuits Data mining Feature extraction Hopfield neural networks Pattern analysis Pattern recognition Power system reliability Shape
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