loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ran Fei 1 ; 2 ; Ying Weng 1 ; 2 ; Yiming Zhang 1 ; 2 and Jonathan Lund 1 ; 2

Affiliations: 1 School of Computer Science, University of Nottingham Ningbo China, China ; 2 School of Medicine, University of Nottingham, U.K.

Keyword(s): Image Enhancement, Contrast Enhancement, Histogram Equalization, Biomedical Imaging.

Abstract: Biomedical images are widely collected from various applications, which are used for patients' screening, diagnosis and treatment. The dark regions of biomedical images may play as an important role as the bright regions. The enhanced details in the dark regions of biomedical images simultaneously maintain the quality of the rest of the images and reveal more information for doctors and surgeons in medical procedures. This paper proposes a fast method to adaptively enhance the details in the dark regions of biomedical images, including X-rays, video frames of laparoscopy in minimally invasive surgery (MIS).

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 3.146.105.194

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:
Fei, R.; Weng, Y.; Zhang, Y. and Lund, J. (2021). Curve based Fast Detail Enhancement for Biomedical Images. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 337-344. DOI: 10.5220/0010250203370344

@conference{visapp21,
author={Ran Fei. and Ying Weng. and Yiming Zhang. and Jonathan Lund.},
title={Curve based Fast Detail Enhancement for Biomedical Images},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={337-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010250203370344},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Curve based Fast Detail Enhancement for Biomedical Images
SN - 978-989-758-488-6
IS - 2184-4321
AU - Fei, R.
AU - Weng, Y.
AU - Zhang, Y.
AU - Lund, J.
PY - 2021
SP - 337
EP - 344
DO - 10.5220/0010250203370344
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic