Fractional Differential-Based Approach for CT Image Enhancement

Da Li Chen; Ding Yu Xue; Yang Quan Chen

doi:10.4028/www.scientific.net/AMR.634-638.3962

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An Improved MeanShift Insulator Image Segmentation Algorithm
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Application of OPENID Site Certification Technology in Management System of Perforation Information
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Existence and Blow-Up Properties of Solutions for a Porous Medium Equation
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Fault Diagnosis of Metallurgical Machinery Based on Spectral Kurtosis and GA-SVM
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Fractional Differential-Based Approach for CT Image Enhancement
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MCGS Software of Industry Control and its Automation Application
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On Applications of Generalized Intelligent Control System Synthesis Method Based on Idea of System Generalized Performance Index
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Scaling of Engineering Image Based on Interpolation Algorithm
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The Applied Research of Decoupling Control Algorithm in Gas Mixing Process
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 634-638Fractional Differential-Based Approach for CT...

Fractional Differential-Based Approach for CT Image Enhancement

Abstract:

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.