We present a novel approach to parameterised curve detection. The method is based on the
generalised Radon transform, which is traditionally applied to a 2D edge/line map. The …

We propose a new high speed line tracing algorithm based on a well known differential
geometric line extraction algorithm. The previously separate steps of line detection and line …

In this paper, we present a new method for detecting curvilinear structures and
reconstructing their regions in gray-scale images. The concept of skeleton extraction is …

In this paper we address the issue of road extraction from digital imagery using deformable
contour models (snakes). We present a novel variation of the traditional snakes solution …

This thesis presents a new method for detection of complex curvatures such as corners,
circles, and star patterns. The method is based on a second degree local polynomial model …

In this paper a method to extract curvilinear structures from digital images is presented. The
approach is based on differential geometric properties of the image function. For each pixel …

We propose a new approach to semi-automated delineation of curvilinear structures in a
wide range of imaging modalities. Earlier approaches lack robustness to imaging noise, do …

This paper proposes a novel curvilinear structure detector, called Optimally Oriented Flux
(OOF). OOF finds an optimal axis on which image gradients are projected in order to …

Recovering a non-rigid 3D structure from a series of 2D observations is still a difficult
problem to solve accurately. Many constraints have been proposed to facilitate the recovery …

Centerline detection and line width estimation are important for many computer vision
applications, eg, road network extraction from high resolution remotely sensed imagery …