Image processing and pattern recognition are two important fields of informatics that deal with analyzing, interpreting, and manipulating visual data. They have many applications in various ...

Deep learning has revolutionized pattern matching in image processing, as it can handle high-dimensional, noisy, and varied images, and learn features and representations automatically.

A filter structure is proposed and used to implement nonlinear filters for image processing. The structure is very general and encompasses various classes of nonlinear filters (median filters, order ...

Information processing in the nervous system is based on parallel computation, adaptation and learning. These features cannot be easily implemented on conventional silicon devices. In order to obtain ...