A Study on Image Processing Using Artificial Neural Networks in Civil Engineering

Abstract

For the last five years, image processing using artificial neural networks (ANN) got several researchers interested in the field of Civil Engineering. As the artificial neural network, which consists of several neurons may not be able to extract features from the image due to the required computing power, the Convolutional Neural Network (CNN) was created. CNN is a machine learning algorithm that uses the image as input, attributing the importance of different aspects (objects in the image) to allow their differentiation. The results recorded in Civil Engineering domain show a real success.