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Taddeüs Kroes
licenseplates
Commits
4d559008
Commit
4d559008
authored
13 years ago
by
Richard Torenvliet
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docs/verslag.tex
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4d559008
...
@@ -115,7 +115,7 @@ at either the left of right side of the image.
...
@@ -115,7 +115,7 @@ at either the left of right side of the image.
Once we have separate digits and characters, we intent to use Local Binary
Once we have separate digits and characters, we intent to use Local Binary
Patterns (Ojala, Pietikäinen
\&
Harwood, 1994) to determine what character
Patterns (Ojala, Pietikäinen
\&
Harwood, 1994) to determine what character
or digit we are dealing with. Local Binary
or digit we are dealing with. Local Binary
Patters are a way to classify a texture based on the distribution of edge
Patter
n
s are a way to classify a texture based on the distribution of edge
directions in the image. Since letters on a license plate consist mainly of
directions in the image. Since letters on a license plate consist mainly of
straight lines and simple curves, LBP should be suited to identify these.
straight lines and simple curves, LBP should be suited to identify these.
...
@@ -142,7 +142,7 @@ evaluated, starting with $i=0$).
...
@@ -142,7 +142,7 @@ evaluated, starting with $i=0$).
This results in a mathematical expression:
This results in a mathematical expression:
Let I(
$
x
_
i, y
_
i
$
) an Image with grayscale values and
$
g
_
n
$
the grayscale value of the pixel
$
(
x
_
i, y
_
i
)
$
.
Let I(
$
x
_
i, y
_
i
$
) an Image with grayscale values and
$
g
_
n
$
the grayscale value of the pixel
$
(
x
_
i, y
_
i
)
$
.
Also let
$
s
(
g
_
i
-
g
_
c
)
$
with
$
g
_
c
$
= grayscale value of the center pixel.
Also let
$
s
(
g
_
i
,
g
_
c
)
$
with
$
g
_
c
$
= grayscale value of the center pixel.
$$
$$
s
(
v, g
_
c
)
=
\left\{
s
(
v, g
_
c
)
=
\left\{
...
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