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Author: Koji Kashihara

Affiliation: The University of Tokushima, Japan

Keyword(s): Genetic Algorithm, Expectation Maximization Algorithm, near Infrared Camera, Image Filtering.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Data Engineering ; Data Management and Quality ; Data Manipulation ; Data Visualization ; Design and Development Methodologies for Healthcare IT ; Health Information Systems ; P-Health (Personal Health) ; Sensor Networks

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.

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Paper citation in several formats:
Kashihara and 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 (BIOSTEC 2014) - HEALTHINF; ISBN 978-989-758-010-9; ISSN 2184-4305, SciTePress, pages 506-510. DOI: 10.5220/0004913505060510

@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 (BIOSTEC 2014) - HEALTHINF},
year={2014},
pages={506-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004913505060510},
isbn={978-989-758-010-9},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2014) - HEALTHINF
TI - Automatic Creation of an Efficient Image Filter based on the Genetic Algorithm for Evaluation of Veins
SN - 978-989-758-010-9
IS - 2184-4305
AU - Kashihara, K.
PY - 2014
SP - 506
EP - 510
DO - 10.5220/0004913505060510
PB - SciTePress

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