Noise reduction in 3D images using morphological amoebas

Romain Lerallut; M. Goehm; Étienne Decencière; Fernand Meyer

doi:10.1109/icip.2005.1529699

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Noise reduction in 3D images using morphological amoebas

Romain Lerallut M. Goehm Étienne Decencière Fernand Meyer

Year: 2005 Pages: I-109

DOI: 10.1109/icip.2005.1529699

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Abstract

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.

Keywords:

Noise reduction Artificial intelligence Kernel (algebra) Computer vision Computer science Reduction (mathematics) Noise (video) Mathematics Image (mathematics) Pattern recognition (psychology) Geometry Combinatorics

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Topics

Computer Graphics and Visualization Techniques

Physical Sciences → Computer Science → Computer Graphics and Computer-Aided Design

Cell Image Analysis Techniques

Life Sciences → Biochemistry, Genetics and Molecular Biology → Biophysics

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Noise reduction in 3D images using morphological amoebas

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