HARDWARE IMPLEMENTATION FOR EDGE DETECTION IN CDNA MICROARRAY IMAGES

Bogdan Belean, Monica Borda, Albert Fazakas

Abstract

The present paper proposes hardware implementation strategies for cDNA microarray image processing in order to overcome the main disadvantage introduced by the existing computational tools, the increased processing time. A hardware implementation of the Canny edge detection algorithm for microarray spots is described. The implementation takes advantage of spatial and temporal parallelism offered by FPGA technology. Results of the hardware implementation which prove time and cost efficiency are presented.

References

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Paper Citation


in Harvard Style

Belean B., Borda M. and Fazakas A. (2009). HARDWARE IMPLEMENTATION FOR EDGE DETECTION IN CDNA MICROARRAY IMAGES . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009) ISBN 978-989-8111- 64-7, pages 359-363. DOI: 10.5220/0001536403590363


in Bibtex Style

@conference{biodevices09,
author={Bogdan Belean and Monica Borda and Albert Fazakas},
title={HARDWARE IMPLEMENTATION FOR EDGE DETECTION IN CDNA MICROARRAY IMAGES },
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009)},
year={2009},
pages={359-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001536403590363},
isbn={978-989-8111- 64-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2009)
TI - HARDWARE IMPLEMENTATION FOR EDGE DETECTION IN CDNA MICROARRAY IMAGES
SN - 978-989-8111- 64-7
AU - Belean B.
AU - Borda M.
AU - Fazakas A.
PY - 2009
SP - 359
EP - 363
DO - 10.5220/0001536403590363