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

Podrobná bibliografie
Hlavní autor: Soriano, Maricor Narvaez 1970-
Médium: Diplomová práce
Jazyk:English
Témata:
Principal components analysis.
Image processing > Digital techniques.
Neural networks (Neurobiology)
Nuclear reactors > Noise.
Random noise theory.