Improved classification of noisy microscopic images by a neural network with principal component projections as inputs

Improved classification of noisy microscopic images by a neural network with principal component projections as inputs

Bibliografiska uppgifter
Huvudupphovsman: Soriano, Maricor Narvaez 1970-
Materialtyp: Lärdomsprov
Språk:English
Ämnen:
Principal components analysis.
Image processing > Digital techniques.
Neural networks (Neurobiology)
Nuclear reactors > Noise.
Random noise theory.