On active contour models and balloons
CVGIP: Image Understanding
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic object extraction from aerial imagery—a survey focusing on buildings
Computer Vision and Image Understanding
Tree supported road extraction from arial images using global and local context knowledge
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
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A fully automatic method to extract field boundaries from imagery is described in this paper. The fields are represented together with additional prior knowledge in the form of GIS-data in a semantic model. The approach consists of two main steps: Firstly, a segmentation is carried out in a coarse scale resulting in preliminary field boundaries. In a second step network snakes are used to improve the geometrical correctness of the preliminary boundaries taking into account topological constraints while exploiting the local image information. Focussing on the network snakes and their specialties the results demonstrate the potential of the proposed solution.