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Colour saliency-based parameter optimisation for adaptive colour segmentation

Ilea, Dana E. and Whelan, Paul F. (2009) Colour saliency-based parameter optimisation for adaptive colour segmentation. In: ICIP 2009 - 16th IEEE International Conference on Image Processing, 7-10 November 2009 , Cairo, Egypt. ISBN 978-1-4244-5655-0

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In this paper we present a parameter optimisation procedure that is designed to automatically initialise the number of clusters and the initial colour prototypes required by data space partitioning techniques. The proposed optimisation approach involves a colour saliency measure used in conjunction with a SOM classification procedure. For evaluation purposes, we have integrated the proposed initialisation technique in an unsupervised colour segmentation scheme based on K-Means clustering and the evaluation has been carried out in the context of the unsupervised segmentation of natural images.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis; image colour analysis; image segmentation; self-organising feature maps; unsupervised learning;
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in:Proceedings of the 16th IEEE International Conference on Image Processing (ICIP). . Institute of Electrical and Electronics Engineers. ISBN 978-1-4244-5655-0
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2009 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:15573
Deposited On:27 Jul 2010 14:24 by DORAS Administrator. Last Modified 27 Oct 2017 10:27

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