In this paper, we describe two novel approaches to interactive image segmentation, developed within the COVIRA  framework. Both methods have been designed to extract the boundary of a connected object. Accuracy and real-time processing are the main objectives to be accomplished. The speed requirement is met by a) drastically reducing the user interaction during processing (semi-automation) and, b) performing pseudo 3D processing (propagation of information between slices). Accuracy is improved through multivalued segmentation. Results are reported, using the COVIRA reference data set.
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