Texture Enhancement for Medical Images Based on Fractional Differential Masks
نویسندگان
چکیده
Texture enhancement for medical images is the most important technique in medical image diagnosis. This paper introduces a texture enhancement technique for medical images by using fractional differential (FD) masks based on Srivastava-Owa fractional operators. We also construct a 2D isotropic gradient mask based on generalized fractional operators. Texture enhancement performance is measured by applying experiments according to visual perception and by using Sobel/Canny edge filters and graylevel co-occurrence matrix. We discuss the capability of the FDmask for texture enhancement.The experiments and analysis show that the operator can extract subtle information and make the edges prominent.
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