Abstract
With the growing research on medical image segmentation, it is essential to categorize the research outcomes and provide readers with an overview of the existing segmentation techniques in medical images. In this paper, different image segmentation techniques applied on magnetic resonance brain images are reviewed. The selection of papers includes sources from image processing journals, conferences, books, dissertations and thesis. The conceptual details of the algorithms are explained and mathematical details are avoided for simplicity. Both broad and detailed categorizations of reviewed segmentation techniques are provided. The state of art research is provided with emphasis on developed algorithms and image properties used by them. The methods defined are not always mutually independent. Hence, their inter relationships are also stated. Finally, conclusions are drawn summarizing commonly used techniques and their complexities in application.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Jobin Christ, M.C., Parvathi, R.M.S. (2012). A Survey on MRI Brain Segmentation. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_18
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DOI: https://doi.org/10.1007/978-3-642-30157-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30156-8
Online ISBN: 978-3-642-30157-5
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