In this paper we study how to combine local and global line extraction. The Hough transform
is usually used to detect line segments in an image. However, the standard Hough transform …

Extracting centrelines from an unordered data set is an important problem in image
processing and pattern recognition. The key strategy of existing methods is to find a curve …

Current methods for line segment extraction often fail in challenging scenarios that abound
in real-life images, eg, those containing corrupted lines, of various widths, with multiple …

This paper presents a new elliptical structure detection method, combining the advantages
of the multiscale Hessian, and the scale space Radon transform (SSRT) for an ellipse. The …

An iterative and localized Radon transform is proposed in this paper for the specific
application of road network extraction from high resolution satellite imagery. Based on an …

To analyze the tubular structure correctly and obtain a record of the centerlines has become
significantly more challenging and infers countless applications in a large amount of fields …

A multiresolution approach to curve extraction in images is described. Based on a piecewise
linear representation of curves, the scheme combines an efficient method of extracting line …

A specific formalism for virtual signal generation permits to transpose an image processing
problem to an array processing problem. The existing method for straight-line …

7.1 Conclusions THIS thesis describes three extensions to the theory of connectivity in
mathematical mor-phology. Connectivity plays a key role in the development of robust and …

Two original algorithms, a thinning and a tracking one, are presented, particularly efficient
on images strongly perturbed by noise. A combined method is furthermore proposed, in …