loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Auréline Quatrehomme 1 ; Denis Hoa 2 ; Gérard Subsol 3 and William Puech 3

Affiliations: 1 IMAIOS and Université Montpellier 2, France ; 2 IMAIOS, France ; 3 Université Montpellier 2, France

ISBN: 978-989-8425-38-6

Keyword(s): CBMIR, CBIR, Radiology, Computer Tomography, Visual Features, Retrieval

Abstract: This paper describes a CBIR system presenting two key points: a generic CT data, as well as a novel algorithm for combining visual features. The descriptors express grey levels, texture and shape of the images. A normalization method is proposed in order to improve the quality of indexing and retrieval. Our selected features and our combination method are effective for retrieving images from a whole-body reference set.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.226.122.74

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Quatrehomme, A.; Hoa, D.; Subsol, G. and Puech, W. (2011). Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results.In Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011) ISBN 978-989-8425-38-6, pages 52-61. DOI: 10.5220/0003312500520061

@conference{miad11,
author={Auréline Quatrehomme. and Denis Hoa. and Gérard Subsol. and William Puech.},
title={Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results},
booktitle={Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)},
year={2011},
pages={52-61},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003312500520061},
isbn={978-989-8425-38-6},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Medical Image Analysis and Description for Diagnosis Systems - Volume 1: MIAD, (BIOSTEC 2011)
TI - Content-Based Computer Tomography Image Retrieval on a Whole-Body Anatomical Reference Set: Methods and Preliminary Results
SN - 978-989-8425-38-6
AU - Quatrehomme, A.
AU - Hoa, D.
AU - Subsol, G.
AU - Puech, W.
PY - 2011
SP - 52
EP - 61
DO - 10.5220/0003312500520061

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.