Abstract
Based on an image model of smooth regions separated by scaled discontinuities we compare two multi-scale approaches to the problem of edge detection and characterization in two-dimensional images from X-ray (CT) and magnetic resonance tomography (MR). Both approaches have been evaluated and compared on both synthetic images reassembling characteristic properties of tomograms and real MR images from the human brain.
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© 1995 Springer-Verlag Berlin Heidelberg
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Beil, W., Stiehl, H.S. (1995). Comparison of Two Multi-Scale Approaches to Edge Detection in Medical Images. 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_28
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DOI: https://doi.org/10.1007/978-3-540-49197-2_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
Online ISBN: 978-3-540-49197-2
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