Title :
A robust active contour model with insensitive parameters
Author :
Xu, Gang ; Segawa, Eigo ; Tsuji, Saburo
Author_Institution :
Dept. of Syst. Eng., Osaka Univ., Japan
Abstract :
Active contours, known as snakes, have found wide application since their first introduction in 1987 by M. Kass, A. Witkin and D. Terzopoulos. However, one problem with the current models is that the performance depends on proper internal parameters and initial contour position, which, unfortunately, cannot be determined a priori. It is usually difficult to tune internal parameters and initial contour position. The problem results from the fact that the internal normal force at each point of a contour is also a function of contour shape. To solve this problem, the authors propose to compensate for this internal normal force so as to make it independent of shape. As a result the new model works robustly with no necessity for tuning internal parameters and can converge to high curvature points like corners
Keywords :
computer vision; high curvature points; initial contour position; insensitive parameters; internal normal force; performance; robust active contour model; snakes; Active contours; Force control; Position sensitive particle detectors; Robustness; Shape; Systems engineering and theory;
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
DOI :
10.1109/ICCV.1993.378161