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

Koji Kashihara

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.

References

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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