Real time image segmentation using an adaptive thresholding approach

Authors:
P. Arques;F. Aznar;M. Pujol;R. Rizo
Affiliations:
Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante;Department of Computer Science and Artificial Intelligence, University of Alicante
Venue:
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
Year:
2005

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Abstract

The aim of image segmentation is the partition of the image in homogeneous regions. In this paper we propose an approximation based on Markov Random Fields (MRF) able to perform correct segmentation in real time using colour information. In a first approximation a simulated annealing approach is used to obtain the optimal segmentation. This segmentation will be improved using an adaptive threshold algorithm, to achieve real time. The experiment results using the proposed segmentation prove its correctness, both for the obtained labelling and for the response time.