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 …

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 …

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 …

Curves can be expressed by parametrized functions. If a curve is represented by a sampled
picture, its parametrized functions appear quantized. The noise induced by quantization can …

A new method for ridge and valley line extraction from digital images has been developed.
This method is based on lines drawn by moving under logical constraints in the image …

In this paper a method to detect lines in digital images is introduced. The model used to
represent the shape of a line is a second order polynomial function of the row and column …

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 …

Based on the Gaussian scale‐space, a Gaussian comparison function is presented for
extracting the linearly road features in aerial remote sensing image. Combining the …

A scale-space algorithm for estimating the local curvature of lines (edges or isolines) is
presented. Two variants of edge curvature estimation based on differential invariants are …