Abstract
A method for fast generic object segmentation is presented that allows the user to quickly paint the object of interest in the image using an intelligent paintbrush. This intelligence is based on a partitioning of the image in segmentation primitives, which are computed automatically by merging watershed regions with similar image intensity distribution using the Minimum Description Length principle. We show results for Magnetic Resonance images of the heart and of the brain and for Computerized Tomography images of the abdomen.
Frederik Maes is Aspirant of the Belgian National Fund of Scientific Research (NFWO).
Directors: André Oosterlinck & Albert L. Baert.
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© 1995 Springer-Verlag Berlin Heidelberg
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Maes, F., Vandermeulen, D., Suetens, P., Marchal, G. (1995). Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_9
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DOI: https://doi.org/10.1007/978-3-540-49197-2_9
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