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Adaptive pre-filtering techniques for colour image analysis |
Ilea, Dana E.; Whelan, Paul F.
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One important step in the process of colour image
segmentation is to reduce the errors caused by image
noise and local colour inhomogeneities. This can be
achieved by filtering the data with a smoothing
operator that eliminates the noise and the weak
textures. In this regard, the aim of this paper is to
evaluate the performance of two image smoothing
techniques designed for colour images, namely
bilateral filtering for edge preserving smoothing and
coupled forward and backward anisotropic diffusion
scheme (FAB). Both techniques are non-linear and
have the purpose of eliminating the image noise,
reduce weak textures and artefacts and improve the
coherence of colour information. A quantitative
comparison between them will be evaluated and also
the ability of such techniques to preserve the edge
information will be investigated.
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Keyword(s):
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Image processing |
Publication Date:
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2007 |
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Type:
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Conference item |
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Peer-Reviewed:
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Yes |
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Language(s):
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English |
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Institution:
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Dublin City University |
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Citation(s):
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Ilea, Dana E. and Whelan, Paul F. (2007) Adaptive pre-filtering techniques for colour image analysis. In: IMVIP 2007 - 11th International Machine Vision and Image Processing Conference, 5-7 September 2007, Maynooth, Ireland. |
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Publisher(s):
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Institute of Electrical and Electronics Engineers |
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File Format(s):
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application/pdf |
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Related Link(s):
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http://doras.dcu.ie/4647/1/imvip_2007_adaptiveprefiltering.pdf |
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First Indexed:
2009-11-05 02:01:33 Last Updated:
2010-06-25 05:06:06 |
