Abstract
This paper is focused on segmentation of biomedical images, including textured ones. A segmentation method which is based on network of synchronised oscillators is presented. This technique is able to provide analysis of image regions or volumes, this means that it can be applied both for two dimensional and three dimensional images. The proposed method was tested on several biomedical images acquired based on different modalities. Principles of operation of oscillator network are described and discussed. Obtained segmentation results for sample 2D and 3D biomedical images were presented and compared to multilayer perceptron network (MLP) image segmentation technique.
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Strzelecki, M., Kim, H. (2009). Segmentation of Biomedical Images Using Network of Synchronized Oscillators. In: Kącki, E., Rudnicki, M., Stempczyńska, J. (eds) Computers in Medical Activity. Advances in Intelligent and Soft Computing, vol 65. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04462-5_7
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DOI: https://doi.org/10.1007/978-3-642-04462-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04461-8
Online ISBN: 978-3-642-04462-5
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