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Image filtering using morphological amoebas
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DOI：10.1016/j.imavis.2006.04.018.png)
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摘要
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.
Keyword:
anisotropic filters
noise reduction
morphological filters
color filters
3D image processing
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