A reconfigurable neural network for pattern identification in CCD-based detectors

Author

Alderighi, M. ; D´Angelo, S. ; Gummati, E. ; Sechi, G.R.

Author_Institution

Ist. di Fisica Cosmica e Tecnologie Relative, CNR, Rome, Italy

Volume

2

fYear

1997

fDate

19-21 May 1997

Firstpage

1231

Abstract

The paper presents the definition of a neural image processing system to be used with intensified CCD-based detectors for photon counting applications. It consists of 25 neurons linked to a reconfigurable network. The use of neural network was proved to be a suitable choice for analysing relations among CCD pixels in a quite natural way. The adoption of a reconfigurable interconnection network allows to define and run different neural network topologies on the same hardware platform. Detector concepts are given and system layout is described in the paper

Keywords

CCD image sensors; image recognition; neural nets; photon counting; reconfigurable architectures; CCD pixels; intensified CCD-based detectors; neural image processing; neural network topologies; pattern identification; photon counting applications; reconfigurable network; reconfigurable neural network; Charge coupled devices; Detectors; Face detection; Hardware; Intelligent networks; Multiprocessor interconnection networks; Network topology; Neural networks; Neurons; Phosphors;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1997. IMTC/97. Proceedings. Sensing, Processing, Networking., IEEE

Conference_Location

Ottawa, Ont.

ISSN

1091-5281

Print_ISBN

0-7803-3747-6

Type

conf

DOI

10.1109/IMTC.1997.612395

Filename

612395