Noise reduction in 3D images using morphological amoebas

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This article presents the use of morphological amoebas for the enhancement of 3D medical images. Morphological amoebas are kernels adapting their shape in such a way that they do not cross the contours of the image. They can be used in morphological operations in quite a similar way as classical kernel and are well-fitted for noise-reduction in 3D medical images.

Etienne Decencière, Fernand Meyer, Mathilde

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ICIP 2005 | Image Processing | Morphological Amoebas | Morphological Operations |

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Added	23 Oct 2009
Updated	27 Oct 2009
Type	Conference
Year	2005
Where	ICIP
Authors	Etienne Decencière, Fernand Meyer, Mathilde Goehm, Romain Lerallut

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Noise reduction in 3D images using morphological amoebas

ICIP 2005 | Image Processing | Morphological Amoebas | Morphological Operations |

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