Detecting objects in image sequences using rule-based control in an active contour model

IEEE Trans Biomed Eng. 2003 Jun;50(6):705-10. doi: 10.1109/TBME.2003.812190.

Abstract

A method is presented for tracking object boundaries in sequential images using an active contour model, based on fuzzy reasoning rule-based control. Evolution of contour segments is controlled by separate processes based on whether the segment is judged to be inside, outside, or near the boundary of the object, leading to robust boundary detection.

Publication types

  • Evaluation Study
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Algorithms
  • Carotid Arteries / anatomy & histology
  • Fuzzy Logic*
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Imaging, Three-Dimensional / methods*
  • Knee / anatomy & histology
  • Magnetic Resonance Imaging / instrumentation
  • Magnetic Resonance Imaging / methods
  • Models, Biological
  • Pattern Recognition, Automated*
  • Phantoms, Imaging
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique*