Robust and Zero-Phase-Shift Sharpening Filter Based Medical Image Enhancing
This work focuses on the implementation of fractional-order derivatives and their use for medical image sharpening. Our approach basically consists of defining discrete formulations of fractional-order image sharpening filter in spatial and frequency domain, and then constructing the
filter mask based on the formulations. This work proposes an order-steerable and rotation-invariant fractional sharpening filter, which always achieves a 0° phase shift, while a fractional Laplacian operator consisting of fractional-order left and right derivative is derived. Qualitative
and quantitative comparisons with some state-of-the art enhancing methods are performed. The comparison experiments indicate that the sharpening method derived enhances best fine detail and provides a better ability of sharpening and robustness against noise than the state-of-the art enhancing
methods.
Keywords: FRACTIONAL DIFFERENTIATOR; IMAGE SHARPENING; MEDICAL IMAGE ENHANCEMENT; ROBUSTNESS; ZERO-PHASE-SHIFT
Document Type: Research Article
Publication date: 01 January 2019
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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