The estimation of edge features, such as subpixel position, orientation, curvature and
change in intensity at both sides of the edge, from the computation of the gradient vector in …

A new medical image segmentation pipeline for accurate bone segmentation from computed
tomography (CT) imaging is proposed in this paper. It is a two-step methodology, with a pre …

We present a novel approach for fitting a geometric shape in images. Similar to active shape
models and active contours, a force field is used in our approach. But the object to be …

A well-known reading pitfall in computed tomography (CT) colonography is posed by
artifacts at T-junctions, ie, locations where air-fluid levels interface with the colon wall. This …

A fully automated method is presented to classify 3-D CT data into material fractions. An
analytical scale-invariant description relating the data value to derivatives around Gaussian …

Blur estimation is an important technique for super resolution, image restoration, turbulence
mitigation, deblurring and autofocus. Low-cost methods have been proposed for blur …

Existing theories on shape digitization impose strong constraints on admissible shapes, and
require error-free data. Consequently, these theories are not applicable to most real-world …

The full-width at half-max (FWHM) criterion is often used for both manual and automatic
quantification of the vessel diameter in medical images. The FWHMcriterion is easy to …

An accurate estimation of the position, orientation, principal curvatures, and change in
intensity of the edges in a 3D image provides highly useful information for many …

Existing theories on shape digitization impose strong constraints on feasible shapes and
require error-free measurements. We use Delaunay triangulation and α-shapes to prove that …