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

Detalhes bibliográficos
Autor principal: Soriano, Maricor Narvaez 1970-
Formato: Thesis
Idioma:English
Assuntos:
Principal components analysis.
Image processing > Digital techniques.
Neural networks (Neurobiology)
Nuclear reactors > Noise.
Random noise theory.