FIELD: physics.
SUBSTANCE: image is taken, its histogram is calculated, values of the histogram are converted to input arguments of a neural network and the output value of the neural network is calculated. The input arguments of the neural network used are normalised to the unit value of the histogram calculated with a given class interval. The brightness level is calculated as a linear function of the output value of the neural network. The neural network is trained using a learning set calculated on a given image base. The set of target values used is the brightness levels calculated for each image on the area of interest and scaled to the range of the neuron activation function of the output layer of the neural network.
EFFECT: high rate of processing a digital image.
6 cl, 5 dwg
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Authors
Dates
2011-10-10—Published
2010-03-31—Filed