Abstract
In this paper, a simple enhancement algorithm for MR head images has been presented. The algorithm is based on histogram equalization but new adaptive reassigning rules have been involved, which approaches a non-linear gray level mapping. Comparing with other existing enhancement algorithms based on equalization, the new algorithm needs not calculate local histograms window by window but dynamically assigning new gray levels according to statistical info in related histogram, which makes the new algorithm natively faster. Testing results on different MR Head images have been reported and compared with several existing algorithms, which have shown that the new algorithm is not only faster but also reached better enhancement results.
Supported by the National Natural Science Foundation of China (No. 30470487).
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
Carmi, E., Liu, S., Alon, N., Fiat, A., Fiat, D.: Resolution enhancement in MRI. Magnetic Resonance Imaging 24, 133–154 (2006)
Larrabide, A.A., Novotny, R.A.: A Medical Image Enhancement Algorithm Based on Topological Derivative and Anisotropic Diffusion. In: Proceedings of the XXVI I berian Latin-American Congress on Computational Methods in Engineering CILAMCE 2005, Brazilian Assoc. for Comp. Mechanics & Latin American Assoc. of Comp. Methods in Engineering, Guarapari, Esp´ırito Santo, Brazil (2005)
Pavlidis, T.: Algorithms for Graphics and Image Processing, pp. 50–54. Computer Science Press (1982)
Ju-lang, J., You-sheng, Z., Feng, X., Min, H.: Local Histogram Equalization with Brightness Preservation, Acta Electronica Sinica (2006)
Xian-min, W.: Research and Application of Adaptive Histogram Equalization Method. Information Technology & Informatization 4 (2005)
Eramian, M., Mould, D.: Histogram Equalization using Neighborhood Metrics. In: The 2nd Canadian Conference on Computer and Robot Vision (CRV 2005), pp. 397–404 (2005)
Rafael, C., Gonzalez, R.E.: Woods, Digital Image Processing, 2nd edn. Addison-Wesley Pub Co., Reading (2003)
Unser, M., Aldroubi, A.: A review of wavelets in biomedical applications. Proceedings of the IEEE 84(4), 626–638 (1996)
Castleman, K.R.: Digital Image Processing, ch. 17, p. 438. Prentice Hall, Inc., Englewood Cliffs (1996)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tian, X., Yin, J., Sun, Y., Tang, Z. (2008). A Simple Enhancement Algorithm for MR Head Images. In: Gao, X., Müller, H., Loomes, M.J., Comley, R., Luo, S. (eds) Medical Imaging and Informatics. MIMI 2007. Lecture Notes in Computer Science, vol 4987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79490-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-79490-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-79489-9
Online ISBN: 978-3-540-79490-5
eBook Packages: Computer ScienceComputer Science (R0)