What is it about?
The paper shows an additional application of the methodology used for the creation of digital high pass filters from model polynomial functions. The methodology was explained in: https://doi.org/10.1002/ima.22256 The filter is compared to set of filters in image space including the particle swarm optimization based high pass filter.
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Why is it important?
The paper reinforces on the capability of the intensity-curvature functional (ICF) to be used as a high pass filter. For the first time the filter is created from bivariate cubic B-spline model polynomial function. The ICF based high pass filters show features that make them suitable for vessels visualization in MRI of the human brain.
Perspectives
The perspective is the intensity-curvature concept, which joins in a new domain the image intensity with the second order partial derivatives of the model function fitted to the MRI. The intensity-curvature concept thus creates a new domain to image MRI of the human brain.
Dr. Carlo Ciulla
Western Balkans University
Read the Original
This page is a summary of: Intensity-curvature functional based digital high pass filter of the bivariate cubic B-spline model polynomial function, Visual Computing for Industry Biomedicine and Art, August 2019, Springer Science + Business Media,
DOI: 10.1186/s42492-019-0017-6.
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