This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication

Year(s) from:  to 
Keywords (separated by spaces):

Controlling Growing Snakes by Using Key-Points

O. Henricsson and W. Neuenschwander
BIWI-TR-152, 1994


In the present paper we address the problem of establishing contours in static monocular scenes. We propose to use features from unified edge and key-point detection to drive an active contour model. We present a framework for image segmentation consisting of, (a) detection of 1D and 2D intensity discontinuities, i.e. general edges and key-points, (b) reformulation of the active contour model to an expanding version, called ``growing snake'', (c) automatic generation of suitable start-points, (d) image and internal geometry driven optimized expansion, and (e) controlled termination. The objective is to explore the potential of a fully automatic segmentation scheme. The performance and present limitations of growing snakes are demonstrated on images representative for diverse classes of scenes.

Download in postscript format
  author = {O. Henricsson and W. Neuenschwander},
  title = {Controlling Growing Snakes by Using Key-Points},
  year = {1994},
  number = {BIWI-TR-152},
  keywords = {segmentation,contour,key points,deformable}