Segmentation of Curvilinear Objects Using a~Watershed-Based Curve Adjacency Graph

Abstract. This paper presents a general framework to segment curvilinear objects in 2D images. A pre-processing step relies on mathematical morphology to obtain a connected line which encloses curvilinear objects. Then, a graph is constructed from this line and a Markovian Random Field is defined to perform objects segmentation. Applications of our framework are numerous: they go from simple surve segmentation to complex road network extraction in satellite images.

• Type: Conference
• Year: 2003
• Where: IBPRIA
• Authors: Thierry Géraud
• Keywords: Curvilinear Objects, IBPRIA 2003, Image Analysis, Pre-processing Step Relies, Segment Curvilinear Objects