Noise Attenuation using Genetic Algorithm in CT Image

A. A. Saraiva, M. S. de Oliveira, J. V. M. Sousa, N. M. Fonseca Ferreira, Antonio Valente, Antonio Valente, Salviano Soares

2019

Abstract

The techniques of image filtering have undergone an explosive growth in the last years to make new advances and challenges. This is due to the fact, among several other reasons, the increase of the volume of images coming from several sources. Digital images have been used for a variety of purposes, from the storage of souvenirs to accurate medical exams. However, Images may be corrupted due to several factors. The challenge of suppression or noise attenuation has led to the search for improved techniques in order to preserve important characteristics of the image, but, on the other hand, there is no solution available to completely solve the problem, boosting the production of the work proposed here. In this paper proposes a method for noise attenuation in computed tomography images using a hybrid genetic algorithm, the proposed method seeks to optimize the results in the space of solutions composed by a series of techniques of noise filtering. At the end the proposed method is compared statistically with two other competing methods and after the resulting filtered images are shown.

Paper Citation

in Harvard Style

Saraiva A., S. de Oliveira M., Sousa J., Ferreira N., Valente A. and Soares S. (2019). Noise Attenuation using Genetic Algorithm in CT Image. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES; ISBN 978-989-758-353-7, SciTePress, pages 140-148. DOI: 10.5220/0007346301400148

in Bibtex Style

@conference{biodevices19,
author={A. A. Saraiva and M. S. de Oliveira and J. V. M. Sousa and N. M. Fonseca Ferreira and Antonio Valente and Salviano Soares},
title={Noise Attenuation using Genetic Algorithm in CT Image},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES},
year={2019},
pages={140-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007346301400148},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 1: BIODEVICES
TI - Noise Attenuation using Genetic Algorithm in CT Image
SN - 978-989-758-353-7
AU - Saraiva A.
AU - S. de Oliveira M.
AU - Sousa J.
AU - Ferreira N.
AU - Valente A.
AU - Soares S.
PY - 2019
SP - 140
EP - 148
DO - 10.5220/0007346301400148
PB - SciTePress