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Histogram-based contrast enhancement for coronary artery angiography images

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3 Author(s)
Liu Li ; Shandong Provincial Key Lab. for Novel, Shandong Normal Univ., Jinan, China ; Wang Junjie ; Kong Fanxin

To solve the problem of the typical histogram equalization method used to enhance cardiac coronary artery angiography images, a novel method based on histogram equalization is proposed. Firstly, the Fuzzy C-Means clustering algorithm is adopted to realize the histogram's partition, and the control threshold is selected. Then histograms of sub-level are redefined by adopting local histogram modification to construct gray transfer function. Finally the enhancement result of sub-level is composed. The experimental results demonstrate that this image enhancement algorithm could significantly enhance detailed regions and produce little noise over-enhancement.

Published in:

Information Technology in Medicine and Education (ITME), 2012 International Symposium on  (Volume:2 )

Date of Conference:

3-5 Aug. 2012

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