An Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR S

This paper addresses the segmentation from an image of entities that have the form of a `network', i.e. the region in the image corresponding to the entity is composed of branches joining together at junctions, e.g. road or vascular networks. We present a new phase field higher-order active contour (HOAC) prior model for network regions, and apply it to the segmentation of road networks from very high resolution satellite images. This is a hard problem for two reasons. First, the images are complex, with much `noise' in the road region due to cars, road markings, etc., while the background is very varied, containing many features that are locally similar to roads. Second, network regions are complex to model, because they may have arbitrary topology. In particular, we address a severe limitation of a previous model in which network branch width was constrained to be similar to maximum network branch radius of curvature, thereby providing a poor model of networks with straight...

• Type: Conference
• Year: 2008
• Where: ECCV
• Authors: Ian H. Jermyn, Josiane Zerubia, Ting Peng, Véronique Prinet
• Keywords: Computer Vision, ECCV 2008, Model Parameters, Network Branch, Network Branch Radius, Network Branch Width, Road Network