Abstract
In this paper we report the combination of the Live-Wire method with the region growing algorithm based on fuzzy affinity. First, we employed anisotropic diffusion filter to process the images which smoothed the images while keeping the edge, and then we confined the possible boundary in applying the Live-Wire method to the over-segmentation found by the region growing algorithm. The speed and the reliability of the segmentation of the Live-Wire method are greatly improved by such combination. This method has been used for CT and MR image segmentation. The results confirmed that our method is practical and accurate in the medical image segmentation.
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He, H., Tian, J., Lin, Y., Lu, K. (2005). A New Interactive Segmentation Scheme Based on Fuzzy Affinity and Live-Wire. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_56
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DOI: https://doi.org/10.1007/11539506_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
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