Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery

Rochery, M.; Jermyn, I.H.; Zerubia, J.

Abstract

We present a novel method for the incorporation of shape information into active contour models, and apply it to the extraction of line networks (e.g. road, water) from satellite imagery. The method is based on a new class of contour energies. These energies are quadratic on the space of one-chains in the image, as opposed to classical energies, which are linear. They can be expressed as double integrals on the contour, and thus incorporate non-trivial interactions between different contour points. The new energies describe families of contours that share complex geometric properties, without making reference to any particular shape. Networks fall into such a family, and to model them we make a particular choice of quadratic energy whose minima are reticulated. To optimize the energies, we use a level set approach. The forces derived from the new energies are non-local however, thus necessitating an extension of standard level set methods. Promising experimental results are obtained using real images.

Citation

Rochery, M., Jermyn, I., & Zerubia, J. (2003). Higher Order Active Contours and their Application to the Detection of Line Networks in Satellite Imagery.

• Conference Name: 2nd IEEE Workshop on Variational, Geometric and Level Set Methods in Computer Vision
• Conference Location: ICCV, Nice
• Start Date: Oct 11, 2003
• End Date: Oct 12, 2003
• Publication Date: Oct 1, 2003
• Deposit Date: Aug 12, 2011
• Publicly Available Date: May 13, 2016
• Publisher URL: http://lear.inrialpes.fr/people/triggs/events/iccv03/cdrom/vlsm03/index.htm