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This is an archived project. Repository and other project resources are read-only.
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Taddeüs Kroes
licenseplates
Commits
e09f6eea
Commit
e09f6eea
authored
13 years ago
by
Jayke Meijer
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Merge branch 'master' of github.com:taddeus/licenseplates
parents
4681149a
35093d9a
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src/LBP.py
+40
-3
40 additions, 3 deletions
src/LBP.py
with
40 additions
and
3 deletions
src/LBP.py
+
40
−
3
View file @
e09f6eea
#!/usr/bin/python
import
Image
as
im
import
Image
from
numpy
import
array
,
zeros
,
byte
from
matplotlib.pyplot
import
imshow
,
show
,
axis
CELL_SIZE
=
16
def
domainIterator
(
image
):
"""
Iterate over the pixels of an image.
"""
...
...
@@ -24,5 +28,38 @@ def domainIterator(image):
# Optionally normalize the histogram. Concatenate normalized histograms of all
# cells. This gives the feature vector for the window.
image
=
im
.
open
(
"
../images/test.png
"
).
convert
(
'
L
'
)
image
.
show
()
image
=
array
(
Image
.
open
(
"
../images/test.png
"
).
convert
(
'
L
'
))
def
in_image
(
y
,
x
,
F
):
"""
Check if given pixel coordinates are within the bounds of image F.
"""
return
0
<=
y
<
F
.
shape
[
0
]
and
0
<=
x
<
F
.
shape
[
1
]
def
compare
(
image
):
"""
Compare each pixel to each of its eight neigheach pixel to each of its
eight neighbours.
"""
features
=
zeros
(
image
.
shape
,
dtype
=
byte
)
def
cmp_pixels
(
y
,
x
,
p
):
return
in_image
(
y
,
x
,
image
)
and
image
[
y
,
x
]
>
p
for
y
,
x
in
domainIterator
(
features
):
p
=
image
[
y
,
x
]
# Walk around the pixel in counter-clokwise order, shifting 1 but less
# at each neighbour starting at 7 in the top-left corner. This gives a
# 8-bitmap
features
[
y
,
x
]
=
byte
(
cmp_pixels
(
y
-
1
,
x
-
1
,
p
))
<<
7
\
|
byte
(
cmp_pixels
(
y
-
1
,
x
,
p
))
<<
6
\
|
byte
(
cmp_pixels
(
y
-
1
,
x
+
1
,
p
))
<<
5
\
|
byte
(
cmp_pixels
(
y
,
x
+
1
,
p
))
<<
4
\
|
byte
(
cmp_pixels
(
y
+
1
,
x
+
1
,
p
))
<<
3
\
|
byte
(
cmp_pixels
(
y
+
1
,
x
,
p
))
<<
2
\
|
byte
(
cmp_pixels
(
y
+
1
,
x
-
1
,
p
))
<<
1
\
|
byte
(
cmp_pixels
(
y
,
x
-
1
,
p
))
return
features
#print compare(image)
imshow
(
image
,
cmap
=
'
gray
'
)
axis
(
'
off
'
)
show
()
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