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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jain, A.K., et al.: Data Clustering: A Review. ACM Computing Surveys 31(3) (1999)
Chaudhuri, B.B., Sarkar, N.: Texture Segmentation Using Fractal Dimension. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(1) (1995)
Chanda, B., Dutta Majumder, D.: Digital Image Processing and Analysis. Prentice Hall of India Pvt. Ltd. (2008)
Prasantha, H.S., et al.: Medical Image Segmentation. International Journal on Computer Science and Engineering 02(04) (2010)
Gonzalez, R.C., Woods, R.E.: Digital Image processing, 2nd edn., pp. 589–656. Pearson Education (2007)
Xu, R., Wunsch II, D.: Survey of clustering algorithm. IEEE Transactions on Neural Networks 16(3) (2005)
Hojjatoleslami, S.A., Kittler, J.: Region Growing: A New Approach. IEEE Transactions on Image Processing 7(7) (1998)
Jayaraman, S., et al.: Digital Image Processing. Tata McGraw Hill Education Pvt. Ltd (2009)
Moertini, V.S.: Introduction to five data clustering algorithms. Integral 7(2) (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: EngineeringEngineering (R0)