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Kerautret Bertrand
2019 FBSD
Commits
117bbb60
Commit
117bbb60
authored
6 years ago
by
even
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Article: conclusion and biblio optimized
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Article/biblio.bib
+13
-13
13 additions, 13 deletions
Article/biblio.bib
Article/conclusion.tex
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Article/conclusion.tex
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Article/biblio.bib
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13
View file @
117bbb60
...
@@ -11,12 +11,12 @@
...
@@ -11,12 +11,12 @@
title
=
{Blurred segments in gray level images for
title
=
{Blurred segments in gray level images for
interactive line extraction}
,
interactive line extraction}
,
author
=
{Kerautret, Bertrand and Even, Philippe}
,
author
=
{Kerautret, Bertrand and Even, Philippe}
,
booktitle
=
{Proc
eedings of the 13th {IWCIA
}}
,
booktitle
=
{Proc
. of Int. Workshop on Computer Image Analysis
}
}
,
series = {LNCS},
series = {LNCS},
volume = {5852},
volume = {5852},
publisher
=
{Springer}
,
opt
publisher = {Springer},
editor = {Wiederhold, P. and Barneva, R. P.},
editor = {Wiederhold, P. and Barneva, R. P.},
month
=
nov
,
opt
month = nov,
year = {2009},
year = {2009},
pages = {176--186}
pages = {176--186}
}
}
...
@@ -33,7 +33,7 @@
...
@@ -33,7 +33,7 @@
series
=
{LNCS}
,
series
=
{LNCS}
,
pages
=
{371-382}
,
pages
=
{371-382}
,
optaddress
=
{Poitiers, France}
,
optaddress
=
{Poitiers, France}
,
month
=
{April}
,
opt
month
=
{April}
,
publisher
=
{Springer}
publisher
=
{Springer}
}
}
...
@@ -82,7 +82,7 @@
...
@@ -82,7 +82,7 @@
volume
=
"25"
,
volume
=
"25"
,
number
=
"1"
,
number
=
"1"
,
year
=
"1987"
,
year
=
"1987"
,
month
=
"April"
,
opt
month
=
"April"
,
pages
=
"11--12"
pages
=
"11--12"
}
}
...
@@ -91,16 +91,16 @@
...
@@ -91,16 +91,16 @@
author
=
{Natsumi, Hiroaki and Sugimoto, Akihiro and Kenmochi, Yukiko}
,
author
=
{Natsumi, Hiroaki and Sugimoto, Akihiro and Kenmochi, Yukiko}
,
title
=
{Predicting corresponding region in a third view using
title
=
{Predicting corresponding region in a third view using
discrete epipolar lines.}
,
discrete epipolar lines.}
,
bookTitle
=
{
14th IAPR International Conference
on Discrete Geometry
bookTitle
=
{
Int. Conf.
on Discrete Geometry
for Computer Imagery}
,
for Computer Imagery}
,
editor
=
{}
,
editor
=
{}
,
optaddress
=
{Lyon, France}
,
optaddress
=
{Lyon, France}
,
pages
=
{470--481}
,
pages
=
{470--481}
,
month
=
{April 16-18}
,
opt
month
=
{April 16-18}
,
year
=
{2008}
,
year
=
{2008}
,
volume
=
{4992}
,
volume
=
{4992}
,
series
=
{LNCS}
,
series
=
{LNCS}
,
publisher
=
{Springer}
opt
publisher
=
{Springer}
}
}
...
@@ -108,10 +108,10 @@
...
@@ -108,10 +108,10 @@
title
=
{{LSD}: A Fast Line Segment Detector with a False Detection Control}
,
title
=
{{LSD}: A Fast Line Segment Detector with a False Detection Control}
,
author
=
{Gioi, R. G. von and Jakubowicz, J.
author
=
{Gioi, R. G. von and Jakubowicz, J.
and Morel, J.-M. and Randall, G.}
,
and Morel, J.-M. and Randall, G.}
,
journal
=
{IEEE Trans on Pattern Analysis and Machine Intelligence}
,
journal
=
{IEEE Trans
.
on Pattern Analysis and Machine Intelligence}
,
volume
=
{32}
,
volume
=
{32}
,
number
=
{4}
,
number
=
{4}
,
month
=
apr
,
opt
month
=
apr
,
year
=
{2010}
,
year
=
{2010}
,
pages
=
{722--732}
,
pages
=
{722--732}
,
doi
=
{10.1109/TPAMI.2008.300}
doi
=
{10.1109/TPAMI.2008.300}
...
@@ -133,7 +133,7 @@
...
@@ -133,7 +133,7 @@
@inproceedings
{
LuAl15
,
@inproceedings
{
LuAl15
,
title
=
{CannyLines: a parameter-free line segment detector}
,
title
=
{CannyLines: a parameter-free line segment detector}
,
author
=
{Lu, Xiaohu and Yao, Jian and Li, Kai and Li, Li}
,
author
=
{Lu, Xiaohu and Yao, Jian and Li, Kai and Li, Li}
,
booktitle
=
{Int
ernational Conference
on Image Processing
(ICIP)
}
,
booktitle
=
{Int
. Conf.
on Image Processing}
,
publisher
=
{IEEE}
,
publisher
=
{IEEE}
,
year
=
{2015}
,
year
=
{2015}
,
pages
=
{507--511}
pages
=
{507--511}
...
@@ -141,10 +141,10 @@
...
@@ -141,10 +141,10 @@
@article
{
AkinlarTopal12
,
@article
{
AkinlarTopal12
,
title
=
{EDPF: a real-time parameter-free edge segment detector
title
=
{
{EDPF
}
: a real-time parameter-free edge segment detector
with a false detection control}
,
with a false detection control}
,
author
=
{Akinlar, Cuneyt and Topal, Cihan}
,
author
=
{Akinlar, Cuneyt and Topal, Cihan}
,
journal
=
{Int
ernational
Journal of Pattern Recognition
journal
=
{Int
.
Journal of Pattern Recognition
and Artificial Intelligence}
,
and Artificial Intelligence}
,
volume
=
{26}
,
volume
=
{26}
,
number
=
{01}
,
number
=
{01}
,
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Article/conclusion.tex
+
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−
7
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117bbb60
...
@@ -9,13 +9,8 @@ It relies on directional scans of the image around maximal values of the
...
@@ -9,13 +9,8 @@ It relies on directional scans of the image around maximal values of the
gradient magnitude, that have previously been presented in
gradient magnitude, that have previously been presented in
\cite
{
KerautretEven09
}
.
\cite
{
KerautretEven09
}
.
Despite of good performances achieved, the former approach suffers of two
Despite of good performances achieved, the former approach suffers of two
major drawbacks.
major drawbacks: the inaccurate estimation of the blurred segment width
It does not estimate the edge thickness so that many outliers are inserted
and orientation, and the lack of guarantee that it is completely detected.
into the blurred segment and the provided estimation of the edge orientation
is biased.
Then the scan direction is derived from a bounded blurred segment, that
inevitably restricts its value to a finite set, so that long edges may be
not completely detected.
These limitations were solved through the integration of two new concepts:
These limitations were solved through the integration of two new concepts:
adaptive directional scans that continuously adjust the scan strip
adaptive directional scans that continuously adjust the scan strip
to the detected blurred segment direction;
to the detected blurred segment direction;
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