Curve based fast detail enhancement for biomedical images

Ran Fei, Ying Weng, Yiming Zhang, Jonathan Lund

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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).

Original languageEnglish
Title of host publicationVISAPP
EditorsGiovanni Maria Farinella, Petia Radeva, Jose Braz, Kadi Bouatouch
PublisherSciTePress
Pages337-343
Number of pages7
ISBN (Electronic)9789897584886
Publication statusPublished - 2021
Event16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021 - Virtual, Online
Duration: 8 Feb 202110 Feb 2021

Publication series

NameVISIGRAPP 2021 - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume4

Conference

Conference16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2021
CityVirtual, Online
Period8/02/2110/02/21

Keywords

  • Biomedical Imaging
  • Contrast Enhancement
  • Histogram Equalization
  • Image Enhancement

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'Curve based fast detail enhancement for biomedical images'. Together they form a unique fingerprint.

Cite this