Detecting objects in image sequences using rule-based control in an active contour model.
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.
Chao
Han
H
Department of Radiology, AA-010 Health Sciences Bldg., University of Washington, Box 357115, Seattle, WA 98195-7115, USA. chaohan@u.washington.edu
Kerwin
William S
WS
Hatsukami
Thomas S
TS
Hwang
Jenq-Neng
JN
Yuan
Chun
C
D000465:Algorithms; D002339:Carotid Arteries / Q000033:anatomy & histology; D017143:Fuzzy Logic; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007717:Knee / Q000033:anatomy & histology; D008279:Magnetic Resonance Imaging / Q000295:instrumentation / Q000379:methods; D008954:Models, Biological; D010363:Pattern Recognition, Automated; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique