A logic framework for active contours on multi-channel images

Berta Sandberg, Tony F. Chan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We propose a mathematical framework for object detection using logic operations as a structure for defining multi-channel segmentation. The model combines object information from the different channels into any logic combination. We consider active contour methods which use one initial contour that would evolve from the information given in each channel simultaneously. Specific models are derived based on the single-channel region based "active contours without edges" [IEEE Trans. Image Process. 10 (2) (2001) 266] model. Numerical experiments show that the method is able to find general intersections, unions, and complements of the regions of objects of both synthetic and realistic images.

Original languageEnglish (US)
Pages (from-to)333-358
Number of pages26
JournalJournal of Visual Communication and Image Representation
Volume16
Issue number3
DOIs
StatePublished - Jun 1 2005
Externally publishedYes

Keywords

  • Active contours
  • Logic operations
  • Multi-channel
  • Segmentation

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A logic framework for active contours on multi-channel images'. Together they form a unique fingerprint.

Cite this