IMAGE PROCESSING USING ARTIFICIAL NEURAL NETWORKS

Image processing using artificial neuronal networks (ANN) has been successfully used in various fields of activity such as geotechnics, civil engineering, mechanics, industrial surveillance, defence department, automatics and transport. Image preprocessing, date reduction, segmentation and recogniti...

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Published in:Buletinul Institutului Politehnic din Iași. Secția 6, Construcții, arhitectura Construcții, arhitectura, 2015-07, Vol.61 (4), p.9-9
Main Authors: Pandelea, Alexandrina-Elena, Budescu, Mihai, Covatariu, Gabriela
Format: Article
Language:English
Subjects:
Geotechnics
Image processing
Image processing systems
Learning
Learning theory
Mathematical analysis
Neural networks
Vectors (mathematics)
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container_title Buletinul Institutului Politehnic din Iași. Secția 6, Construcții, arhitectura
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Budescu, Mihai
Covatariu, Gabriela
description Image processing using artificial neuronal networks (ANN) has been successfully used in various fields of activity such as geotechnics, civil engineering, mechanics, industrial surveillance, defence department, automatics and transport. Image preprocessing, date reduction, segmentation and recognition are the processes used in managing images with ANN. An image can be represented as a matrix, each element of the matrix containing colour information for a pixel. The matrix is used as input data into the neuronal network. The small dimensions of the images, to easily and quickly help learning, establish the size of the vector and the number of input vectors. The transfer function used is a sigmoidal function. The learning rate includes values between [0,1] and the error it is recommended to be below 0.1.
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2068-4762
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subjects Geotechnics
Image processing
Image processing systems
Learning
Learning theory
Mathematical analysis
Neural networks
Vectors (mathematics)
title IMAGE PROCESSING USING ARTIFICIAL NEURAL NETWORKS
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