Image Techniques for Identifying Sea-Ice Parameters
Journal article, Peer reviewed
Permanent lenke
http://hdl.handle.net/11250/2384521Utgivelsesdato
2014Metadata
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- Institutt for marin teknikk [3397]
- Publikasjoner fra CRIStin - NTNU [37177]
Sammendrag
The estimation of ice forces are critical to Dynamic Positioning (DP) operations in Arctic waters. Ice conditions are important for the analysis of ice-structure interaction in an ice field. To monitor sea-ice conditions, cameras are used as field observation sensors on mobile sensor platforms in Arctic. Various image processing techniques, such as Otsu thresholding, k-means clustering, distance transform, Gradient Vector Flow (GVF) Snake, mathematical morphology, are then applied to obtain ice concentration, ice types, and floe size distribution from sea-ice images to ensure safe operations of structures in ice covered regions. Those techniques yield acceptable results, and their effectiveness are demonstrated in case studies.