Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins

Koji Kashihara

2014

Abstract

Instead of expensive and complicated diagnostic equipment, low-cost infrared cameras can record vein images noninvasively and simply. However, the recorded image may induce low contrast and a worse signal-to-noise (S/N) ratio. To solve this problem, an effective image filtering method to catch vein shapes will enable the early detection of disease. Therefore, a new filtering method based on the genetic algorithm (GA) with the expectation maximization (EM) algorithm was proposed for the analysis of vein images acquired from a near-infrared (780 nm) CCD camera. The new filter was automatically designed by the GA to modify the worse S/N ratio of vein images, with an unknown correct image answer. If the proposed filtering method is incorporated into the e-healthcare application, it could be widely distributed through smart phones or tablets.

Paper Citation

in Harvard Style

Kashihara K. (2014). Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014) ISBN 978-989-758-010-9, pages 506-510. DOI: 10.5220/0004913505060510

in Bibtex Style

@conference{healthinf14,
author={Koji Kashihara},
title={Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)},
year={2014},
pages={506-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004913505060510},
isbn={978-989-758-010-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2014)
TI - Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins
SN - 978-989-758-010-9
AU - Kashihara K.
PY - 2014
SP - 506
EP - 510
DO - 10.5220/0004913505060510