Ilea, Dana E. and Whelan, Paul F. ORCID: 0000-0001-9230-7656 (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.
Abstract
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.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | image analysis; |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE) |
Publisher: | Institute of Electrical and Electronics Engineers |
Official URL: | http://dx.doi.org/10.1109/IMVIP.2007.17 |
Copyright Information: | ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
ID Code: | 4647 |
Deposited On: | 02 Jul 2009 12:38 by DORAS Administrator . Last Modified 17 Jan 2019 12:57 |
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