Colour saliency-based parameter optimisation for adaptive colour segmentation

Authors:
Dana E. Ilea;Paul F. Whelan
Affiliations:
Centre for Image Processing & Analysis, Dublin City University, Dublin, Ireland;Centre for Image Processing & Analysis, Dublin City University, Dublin, Ireland
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

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.