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Adaptive pre-filtering techniques for colour image analysis

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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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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis;
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:
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 13:38 by DORAS Administrator. Last Modified 27 Oct 2017 10:06

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