Abstract
In designing efficient, reliable and valid filters to process complex MRI brain images, a new established system, conjugate transformation, is proposed to construct smoothing filters in this paper. The smoothing filters constructed by the new method can perform 7.5–10.2 times faster than traditional erosion, dilation, opening and closing filters using multiple complex masks. This method is especially preferable for organising multiple complex patterns as a combinatorial mask to peform higher operations recursively. Speed-up ratio analysis for such smoothing filters is provided and recursive results of sample images in erosion, dilation, τ-closing and reversion are illustrated.
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© 1997 Springer-Verlag Berlin Heidelberg
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Zheng, Z., Pantelis, C., Leung, C., Wong, M., Velakoulis, D. (1997). Extracting complex tissues of MRI brain images using conjugate transformation for medical visual information systems. In: Leung, C. (eds) Visual Information Systems. Lecture Notes in Computer Science, vol 1306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63636-6_10
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DOI: https://doi.org/10.1007/3-540-63636-6_10
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