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

Chao Han, William S. Kerwin, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan

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.