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2019 FBSD
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Kerautret Bertrand
2019 FBSD
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dcfe3f71
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dcfe3f71
authored
6 years ago
by
Kerautret Bertrand
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relecture abstract
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Article/abstract.tex
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This paper introduces a new straight edge detector in gray-level images
based on blurred segments, digital objects able to imbed quality measurements
on the extracted features. This study completes previous works with a better
estimation of the blurred segment width and orientation, with two main
improvements: adaptive directional scans and the control of the
assigned width to the detection algorithm.
This paper introduces a new straight edge detector in gray-level
images based on blurred segments, digital objects able to embed
quality measurements on the extracted features. This study follows
previous works with a better estimation of the blurred segment width
and orientation, with two main improvements: adaptive directional
scans and the control of the assigned width to the detection
algorithm. Initially defined in interactive process, we also propose a
new contribution to detect all segments in a single image. This
detection is also available in an online demonstration.
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@@ -19,7 +19,7 @@
\begin{frontmatter}
% \title{Straight edge detection
% based on adaptive directional tracking of blurred segments}
\title
{
Adaptive
d
irectional
t
racking of
b
lurred
s
egments
}
\title
{
Adaptive
D
irectional
T
racking of
B
lurred
S
egments
}
\author
{
Philippe Even
\inst
{
1
}
\and
Phuc Ngo
\inst
{
1
}
\and
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