Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Reports, Documentation, and Standards
  4. Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks
 
report

Semi-Automated Reconstruction of Curvilinear Structures in Noisy 2D images and 3D image stacks

Türetken, Engin  
•
Benmansour, Fethallah  
•
Fua, Pascal  
2013

We propose a new approach to semi-automated delineation of curvilinear structures in a wide range of imaging modalities. Earlier approaches lack robustness to imaging noise, do not provide radius estimates for the structures and operate only on single channel images. In contrast, ours makes use of the color information, when available, and generates accurate centreline location and radius estimates with minimal supervision. We demonstrate this on a wide range of datasets ranging from a 2D dataset of aerial images to 3D micrographs of neurites.

  • Files
  • Details
  • Metrics
Loading...
Thumbnail Image
Name

turetken_et_al_TR.pdf

Access type

openaccess

Size

3.87 MB

Format

Adobe PDF

Checksum (MD5)

2f80d709e3a26c433232be530a3893f2

Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés