Title :
Detecting objects in image sequences using rule-based control in an active contour model
Author :
Han, Chao ; Kerwin, William S. ; Hatsukami, Thomas S. ; Hwang, Jenq-Neng ; Yuan, Chun
Author_Institution :
Dept. of Radiol., Univ. of Washington, Seattle, WA, USA
fDate :
6/1/2003 12:00:00 AM
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.
Keywords :
biomedical MRI; edge detection; fuzzy control; image sequences; medical expert systems; medical image processing; active contour model; fuzzy reasoning rule-based control; image sequences; magnetic resonance images; object boundaries; object detection; robust boundary detection; separate processes; sequential images; tracking; Active contours; Chaos; Computer vision; Fuzzy reasoning; Heart; Image motion analysis; Image segmentation; Image sequences; Object detection; Radiology; Algorithms; Carotid Arteries; Fuzzy Logic; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Knee; Magnetic Resonance Imaging; Models, Biological; Pattern Recognition, Automated; Phantoms, Imaging; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2003.812190
