Fractional Differential-Based Approach for CT Image Enhancement


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In this paper, a fractional differential-based approach for CT image enhancement is introduced. This approach uses a group of fractional differential masks, which are generalized from the one-dimensional digital fractional order Savitzky-Golay differentiator, to process the image and a max-saturation strategy is designed to enhance these processed images. Some experiments are used to assess the performance of the proposed fractional differential-based image enhancing algorithm, and the results demonstrate that the proposed enhancing method is able to achieve a good tradeoff between the feature enhancement and texture preservation.



Advanced Materials Research (Volumes 634-638)

Edited by:

Jianmin Zeng, Hongxi Zhu and Jianyi Kong




D. L. Chen et al., "Fractional Differential-Based Approach for CT Image Enhancement", Advanced Materials Research, Vols. 634-638, pp. 3962-3965, 2013

Online since:

January 2013




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