Image Processing Reference
In-Depth Information
ξ =log( x 2 + y 2 )=constant (11.20)
η =tan 1 ( x, y )=constant
and
∂ξ
as invariants. Because D ξ =
∂η as a rotator, the di-
rection given by θ min represents the amount of scaling versus rotation leaving f un-
changed(inpractice,leastchanged).The e ( θ min ) containsinformationastowhether
θ min , which represents the symmetry “direction”, is or is not significant.
acts as a zoomer and D η =
The basis of the recognition is that e ( θ ) is small for some θ . We define
k ( θ )=(cos θ, sin θ ) T
(11.21)
and we rewrite the error function in quadratic form:
e ( θ )=
k ( θ ) T ∂ξ
∂f
∂η
∂f
k ( θ ) dξdη = k ( θ ) T S k ( θ )
∂ξ , ∂f
(11.22)
∂η
where S is a matrix defined as follows:
Definition 11.2. The matrix
S = ∂ξ ∂ξ dξdη, ∂ξ ∂η dξdη
∂ξ ∂η dξdη, ∂η ∂η dξdη
(11.23)
is called the generalized structure tensor (GST).
Applying Parseval-Plancherel identity to the elements of matrix S gives
S = μ 20 (
| 2 ) 11 (
| 2 )
|
F ( ω ξ η )
|
F ( ω ξ η )
(11.24)
| 2 ) 02 (
| 2 )
μ 11 (
|
F ( ω ξ η )
|
F ( ω ξ η )
Hence, elements of S correspond to the second-order moments of the power spec-
trum (
| 2 ), which is the Fourier transform of image f ( ξ, η ) taken in the ξη
coordinates. It should be emphasized that the Fourier transform of f w.r.t. the ( ξ, η )
coordinates is not the same as when taken w.r.t. the ( xy ) coordinates.
We know from Chap. 10 that the second-order moments can also be represented
by the second-order complex moments, I pq with p + q =2, see Eq. 10.36, so that
we can conveniently use another matrix as defined next.
|
F ( ω ξ η )
Definition 11.3. The complex representation of the generalized structure tensor is
given as :
I 11 (
Z = 1
2
| 2 )
| 2 )
|
F ( ξ, η )
iI 20 (
|
F ( ξ, η )
(11.25)
| 2 )
| 2 )
iI 20 (
|
F ( ξ, η )
I 11 (
|
F ( ξ, η )
where
I 20 = S (1 , 1)
S (2 , 2) + i 2 S (1 , 2)
I 11 = S (1 , 1) + S (2 , 2)
(11.26)
with S ( k, l ) being the elements of S according to Eq. (11.23).
 
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