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).
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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
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DOI: https://doi.org/10.1007/978-3-540-79490-5_9
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