Image filtering using morphological amoebas

Romain Lerallut

doi:10.1016/j.imavis.2006.04.018

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Image filtering using morphological amoebas

2007-04-01

111

Romain Lerallut *

Étienne Decencière

Fernand Meyer

DOI：10.1016/j.imavis.2006.04.018

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Abstract

En 中文

This paper presents morphological operators with non-fixed shape kernels, or amoebas, which take into account the image contour variations to adapt their shape. Experiments on grayscale and color images demonstrate that these novel filters outperform classical morphological operations with a fixed, space-invariant structuring element for noise reduction applications. Tests on synthetic 3D images are then performed to show the high noise-reduction capacity of amoeba-based filters. (c) 2006 Elsevier B.V. All rights reserved.

Keywords:

anisotropic filters

noise reduction

morphological filters

color filters

3D image processing

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