A STUDY OF TWO COLOR SYSTEMS USED IN CONTENT-BASED IMAGE QUERY ON MEDICAL IMAGERY

Liana Stanescu, Dumitru Burdescu, Cosmin Stoica, Marius Brezovan

2007

Abstract

The article presents a comparative study over two methods used in content-based visual query. The two methods refer at two different color systems used for representing color information from images: HSV quantized to 166 colors and l1l2l3 quantized to 64 colors. The originality of the study comes from the fact that it was made on a database with medical images from digestive tract area, captured by an endoscope. The scope was to check the quality of the content-based visual query on images representing five different diagnoses (colitis, ulcer, esophagitis, polyps and ulcerous tumor) and taking into consideration that some parameters were modified during the capturing process: viewing direction, intensity and direction of the illumination, parameters that affect mostly the medical images captured during the diagnosis process.

Paper Citation

in Harvard Style

Stanescu L., Burdescu D., Stoica C. and Brezovan M. (2007). A STUDY OF TWO COLOR SYSTEMS USED IN CONTENT-BASED IMAGE QUERY ON MEDICAL IMAGERY . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-83-2, pages 337-340. DOI: 10.5220/0001621303370340

in Bibtex Style

@conference{icinco07,
author={Liana Stanescu and Dumitru Burdescu and Cosmin Stoica and Marius Brezovan},
title={A STUDY OF TWO COLOR SYSTEMS USED IN CONTENT-BASED IMAGE QUERY ON MEDICAL IMAGERY},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2007},
pages={337-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001621303370340},
isbn={978-972-8865-83-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A STUDY OF TWO COLOR SYSTEMS USED IN CONTENT-BASED IMAGE QUERY ON MEDICAL IMAGERY
SN - 978-972-8865-83-2
AU - Stanescu L.
AU - Burdescu D.
AU - Stoica C.
AU - Brezovan M.
PY - 2007
SP - 337
EP - 340
DO - 10.5220/0001621303370340