The automatic extraction of elongated curvilinear structures (CLSs) is an important task in
various image processing applications, including numerous remote sensing, and biometrical …

In this paper, we propose a new marked point process (MPP) model and the associated
optimization technique to extract curvilinear structures. Given an image, we compute the …

Minimal path techniques can efficiently extract geometrically curve-like structures by finding
the path with minimal accumulated cost between two given endpoints. Though having found …

This paper presents an approach to extract curvilinear structures (lines) and their widths
from two-dimensional images with high accuracy. Models for asymmetric parabolic and …

This paper describes a method of approximating a shape contour with a polygon. The
polygon vertices are extracted from the curvature extremes, through a scale-space …

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 …

In this paper we propose a stand-alone method to identify lines of different thickness in an
image exploiting the scale Space Radon Transform (SSRT) combined to multiscale image …

In this work, a novel probabilistic clustering algorithm suitable for the identification of linear
elements in datasets containing linear-shaped clusters is proposed. The algorithm is an …

Active contour model (ACM) plays an important role in computer vision and medical image
analysis. The traditional ACMs were employed to extract closed contours of objects. While …

The extraction of curvilinear structures is an important low-level operation in computer vision
that has many applications. Most existing operators use a simple model for the line that is to …