Abstract
In the current study two various segmentation methods have been implemented sequentially in computer-aided approach to the assessment of skeletal maturity, where correct location of borders of anatomical structures is a crucial step. The first segmentation stage, based on the Gibbs random fields technique, correctly segments out a bony structure and roughly outlines the edges of cartilage while the second one using the active contour strategy, smoothes them and prepares for the feature extraction stage. A synthetic region of interest has been designed to test and adjust weights of the snake energy functional. These weights have afterwards been applied to a real image data. In comparison to our previous works we observe a significant improvement of boundary location mainly when cartilage is included in the epiphyses.
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© 2005 Springer-Verlag Berlin Heidelberg
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Gertych, A., Pietka, E., Huang, H.K. (2005). Active Contour Technique in Post-segmentation Edge Smoothing Applied to Hand Radiograph Regions of Interest. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_60
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DOI: https://doi.org/10.1007/3-540-32390-2_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
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