COMPARATIVE ANALYSIS ON METRICS AND FILTERS TO REDUCE IMPULSIVE NOISE IN MEDICAL IMAGES USING GPU

M. Guadalupe Sánchez, Vicente Vidal, Jordi Bataller

2012

Abstract

In many current applications of image processing, eliminating the noise is an important task in the pre-processing phase. In medicine, medical imaging obtained by X-ray and computed tomography, for example, mammograms, can have different types of noise, making it difficult to visually and to detect microcalcifications. We have adapted a noise reduction method for color images that gives good results for grayscale images. In the first step of the method, the corrupted pixels are detected using the concept of peer group with a metric and then is corrected by some kind of filter. This paper presents an algorithm with a very good balance between quality and computational cost to removing impulsive noise in mammography images. With regard to quality, we compared three metrics (two Fuzzy and one Euclidean) and two filters (Arithmetic Mean and Median). To reduce the computational cost, the method is parallelized on a Graphic Processing Unit. The quality results show that the metrics studied yield similar results, being the Euclidean metric less expensive computationally. On the other hand, the filter must be chosen depending on the density of noise in the input image.

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Paper Citation


in Harvard Style

Guadalupe Sánchez M., Vidal V. and Bataller J. (2012). COMPARATIVE ANALYSIS ON METRICS AND FILTERS TO REDUCE IMPULSIVE NOISE IN MEDICAL IMAGES USING GPU . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MIAD, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 534-539. DOI: 10.5220/0003892605340539


in Bibtex Style

@conference{miad12,
author={M. Guadalupe Sánchez and Vicente Vidal and Jordi Bataller},
title={COMPARATIVE ANALYSIS ON METRICS AND FILTERS TO REDUCE IMPULSIVE NOISE IN MEDICAL IMAGES USING GPU},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MIAD, (BIOSTEC 2012)},
year={2012},
pages={534-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003892605340539},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: MIAD, (BIOSTEC 2012)
TI - COMPARATIVE ANALYSIS ON METRICS AND FILTERS TO REDUCE IMPULSIVE NOISE IN MEDICAL IMAGES USING GPU
SN - 978-989-8425-89-8
AU - Guadalupe Sánchez M.
AU - Vidal V.
AU - Bataller J.
PY - 2012
SP - 534
EP - 539
DO - 10.5220/0003892605340539