Abstract
A hierarchical image fusion scheme is presented which preserves the details of the input images regardless of their scale. The technique is demonstrated by fusing images of the human brain derived from magnetic resonance (MR) and computed tomography (CT) scanners. Results are given to show that fused images preserve a more complete representation of anatomical and pathological structures, providing information that cannot be obtained by processing the images at a single scale. The use of different morphological filters for pyramid construction and reconstruction is investigated and the variations in results are highlighted.
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© 1994 Springer Science+Business Media Dordrecht
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Marshall, S., Matsopoulos, G.K., Brunt, J.N.H. (1994). Fusion of MR and CT Images of the Human Brain Using Multiresolution Morphology. In: Serra, J., Soille, P. (eds) Mathematical Morphology and Its Applications to Image Processing. Computational Imaging and Vision, vol 2. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1040-2_41
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DOI: https://doi.org/10.1007/978-94-011-1040-2_41
Publisher Name: Springer, Dordrecht
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