This paper initially develops the discrete-point sampling operator's concept, model, and
parameters that we have previously proposed, and makes its belt-shaped regions in a …

ABSTRACT A new approach to the extraction of curvilinear structures from digital images is
described. The approach is based on computing a second order Taylor polynomial for each …

In this paper, a novel method for unbiased curvilinear structure extraction of cartoon images
is proposed. Our method based on Delaunay triangulation can extract two types of curves …

We present a method for planar shape detection and regularization from raw point sets. The
geometric modelling and processing of man‐made environments from measurement data …

A large portion of image contours is characterized by local properties such as sharp
variations of the image intensity across the contour. The integration of local image …

Geodesic models are considered as a fundamental and powerful tool in the applications of
curvilinear structure extraction, where the target structures are usually modeled as geodesic …

We present a framework for incorporating prior information about high-probability shapes in
the process of contour extraction and object recognition in images. Here one studies shapes …

Robust techniques for structural analysis of curvilinear objects are essential in various
biomedical image processing applications. Conventional approaches in the literature rely on …

A curve skeleton is a compact representation of 3D objects and has numerous applications.
It can be used to describe an object's geometry and topology. In this paper, we introduce a …

Straight line detection is common in computer vision. The Radon transform has received
much attention for its efficiency and accuracy compared to the Hough transform. In this …