Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Dynamical Statistical Shape Priors for Level Set-Based Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Automatic segmentation of veterinary infrared images with the active shape approach
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
IEEE Transactions on Image Processing
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Modern livestock farming follows a trend to higher automation and monitoring standards. Novel systems for the health monitoring of animals like dairy cows are under development. The application of infrared thermography (IRT) for medical diagnostics was suggested long ago, but the lack of suitable technical solutions still prevents an efficient use. Within the R&D project VIONA new solutions were developed to provide veterinary IRT based diagnostic procedures. Therefore a reliable object detection and segmentation of the IR images is required. Due to the significant shape variation of the objects of interest advanced segmentation methods are necessary. The level set approach is applied to veterinary IR images for the first time. The special features of the thermal infrared spectrum require extensive adaptations of the approach. The suggested probability based shape prior and results of the successful application on IR images of dairy cows are presented.