A Simple Enhancement Algorithm for MR Head Images

Authors:
Xiaolin Tian;Jun Yin;Yankui Sun;Zesheng Tang
Affiliations:
Faculty of Information Technology, Macau University of Science and Technology, Macao,;Faculty of Information Technology, Macau University of Science and Technology, Macao,;Department of Computer Science and Technology, Tsinghua University, Beijing, China;Faculty of Information Technology, Macau University of Science and Technology, Macao, and Department of Computer Science and Technology, Tsinghua University, Beijing, China
Venue:
Medical Imaging and Informatics
Year:
2008

Citing 4
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CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision

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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.