… elongated shape: walls, ditches, ancient tracks, parcel limits, agricultural benches, etc. This
work aims at providing simple solutions to extract those curvilinear structures … and stochastic …

… paths [18] were introduced to consider long-range, non-local … of this structure, in order to
allow for noise removal without … We then added a Gaussian random field background to these …

… of noise and effective in several applications. We call it RUSTICO, … effective delineation of
elongated patterns can be obtained … 2a), we extract a representation of such pattern by an …

… These examples often contain different curvilinear structures … , where we have extracted
the enhancement phase as a … solution should support fitting elongated shapes in order to …

… applications include crack detection, aerial road extraction, … to model global context by
building long-range dependencies … flipping, random cropping, and random rotation with 90◦, 180…

… from the filter for highly elongated structures (as opposed to … In our application of NMS, we
have introduced a modified … Three subsets were selected at random from four different datasets…

… Such a random sampling process does not take into account … previous segmentation results
via Long Short-Term Memory (… on extracting curvilinear structures from biomedical images. …

… stochastic optimization of the geometric structures we wish to … strong image gradients and to
form long edges, ie, UfidelityðxÞ ¼ P … Fua, “Reconstructing loopy curvilinear structures using …

… ] develop a stochastic approach for line segment extraction. … of curvilinear objects having
usually thin and long structures. … for adjacent curvilinear structures detection with application to …

… Despite a large field of application and decades of extensive … the profile of curvilinear structures
as elongated patterns. In the … , in which crack pixels are extracted by solving an optimized …