Information Technology Reference
In-Depth Information
(a)
1 0 −3
10 3
10 3
250
250
250
5
10
15
5
10
15
5
10
15
15.6
15.6
15.6
0.977
0.977
0.977
0.061
0.061
0.061
5
10
15
5
10
15
5
10
15
1 0 −3
10 3
10 3
250
250
250
5
10
15
5
10
15
5
10
15
15.6
15.6
15.6
(b)
0.977
0.977
0.977
0.061
0.061
0.061
5
10
15
5
10
15
5
10
15
10 −3
1 0 3
10 −3
250
250
250
5
10
15
5
10
15
5
10
15
15.6
15.6
15.6
0.977
0.977
0.977
0.061
0.061
0.061
5
10
15
5
10
15
5
10
15
10 −3
1 0 −3
10 −3
250
250
250
5
10
15
5
10
15
5
10
15
15.6
15.6
15.6
0.977
0.977
0.977
0.061
0.061
0.061
5
10
15
5
10
15
5
10
15
Fig. 12.6 Co-occurrence matrices a calculated for an example vehicle image b for each channel
(HSV—from left to right ) and for each direction (0 ,45 ,90 , 135 —from top to bottom )
Five statistical parameters are calculated for every co-occurrence matrix P .They
were chosen from among others to be the least dependent on each other and they are
defined as follows [ 13 , 25 ]:
2
contrast
=
P i , j (
i
j
)
(12.5)
i
,
j
P i , j 2
energy
=
(12.6)
i
,
j
mean
= μ i
= μ j
=
i
·
P i , j
(12.7)
i
,
j
2
standard deviation
= σ i
= σ j
=
(
i
μ i )
P i , j
(12.8)
i , j
μ i ) j
μ j
P i , j (
i
correlation
=
(12.9)
σ i 2
σ j 2
i
,
j
This gives a total number of 60 elements for CMSP descriptor (3 channels
×
4
co-occurrence matrices
×
5 parameters).
 
Search WWH ::




Custom Search