BI-LEVEL IMAGE THRESHOLDING - A Fast Method

António dos Anjos, Hamid Reza Shahbazkia

Abstract

Images with two dominant intensity levels are easily manually thresholded. For automatic image thresholding, most of the effective techniques are either too complex or too eager of computer resources. In this paper we present an iterative method for image thresholding that is simple, fast, effective and that requires minimal computer processing power. Images of micro and macroarray of genes have characteristics that allow the use of the presented method for thresholding.

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Paper Citation


in Harvard Style

dos Anjos A. and Reza Shahbazkia H. (2008). BI-LEVEL IMAGE THRESHOLDING - A Fast Method . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 70-76. DOI: 10.5220/0001064300700076


in Bibtex Style

@conference{biosignals08,
author={António dos Anjos and Hamid Reza Shahbazkia},
title={BI-LEVEL IMAGE THRESHOLDING - A Fast Method},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={70-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001064300700076},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 2: BIOSIGNALS, (BIOSTEC 2008)
TI - BI-LEVEL IMAGE THRESHOLDING - A Fast Method
SN - 978-989-8111-18-0
AU - dos Anjos A.
AU - Reza Shahbazkia H.
PY - 2008
SP - 70
EP - 76
DO - 10.5220/0001064300700076