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 …

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 …

Novel approaches to extract curvilinear structures, ie, lines and edges, from 2D images are
proposed. For lines, explicit geometric models for line profiles are used to analyze their …

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 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 …

This paper presents a new approach to the extraction of straight lines in intensity images.
Pixels are grouped into line-support regions of similar gradient orientation, and then the …

Finding line segments in an intensity image has been one of the most fundamental issues in
the area of computer vision. In complex scenes, it is hard to detect the locations of point …

A straight-line extractor that produces line descriptions from aerial images is described. The
input to the line extractor is in the form of an edge image, where the contrast and direction of …

A method to extract curvilinear structures and their widths from digital images is presented.
The approach is based on differential geometric properties of the image function. For each …

An algorithm that decomposes a line image into singular and regular regions is presented.
We define a contour trapezoid as the building block of regular regions, and postulate a …