Ice images processing interface for automatic features extraction

Pierre Martin Tardif

doi:10.1117/12.417185

12 February 2001 Ice images processing interface for automatic features extraction

Pierre Martin Tardif

Proceedings Volume 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology; (2001) https://doi.org/10.1117/12.417185
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

Canadian Coast Guard has the mandate to maintain the navigability of the St.-Lawrence seaway. It must prevent ice jam formation. Radar, sonar sensors and cameras are used to verify ice movement and keep a record of pertinent data. The cameras are placed along the seaway at strategic locations. Images are processed and saved for future reference. The Ice Images Processing Interface (IIPI) is an integral part of Ices Integrated System (IIS). This software processes images to extract the ice speed, concentration, roughness, and rate of flow. Ice concentration is computed from image segmentation using color models and a priori information. Speed is obtained from a region-matching algorithm. Both concentration and speed calculations are complex, since they require a calibration step involving on-site measurements. Color texture features provide ice roughness estimation. Rate of flow uses ice thickness, which is estimated from sonar sensors on the river floor. Our paper will present how we modeled and designed the IIPI, the issues involved and its future. For more reliable results, we suggest that meteorological data be provided, change in camera orientation be changed, sun reflections be anticipated, and more a priori information, such as radar images available at some sites, be included.

Citation Download Citation

Pierre Martin Tardif "Ice images processing interface for automatic features extraction", Proc. SPIE 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, (12 February 2001); https://doi.org/10.1117/12.417185

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