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Rotations in Phase Space    93


               reconstructed numerically from the phase-only data (parts a and b)
               and the amplitude-only data (parts c and d) of the symmetric fractional
               FT of the test image are displayed for two transformation angles 
:
               
 =  /4 (parts a and c) and 
 =  /2 (parts b and d). We observe that the
               information about the structure of the image codified in the amplitude
               of the fractional FT transform is poor for 
  = n . Meanwhile the frac-
               tional FT phase contains essential information about the signal almost
               for all ranges of 
. Thus we can conclude that the phase information
               of the fractional FT is more relevant than the amplitude one, where
               we exclude rather exotic images whose fractional FTs have constant
               phase. The same results are also valid for other phase-space rotators 32
               excluding ones of the imaging type.
                 If the pattern on the scene is rotated with respect to the refer-
               ence one, then we can apply the GC where U 1 = U f ( /2,  /2)U r ( )
               and U 2 = U 3 = U f (− /2, − /2), or U 1 = U −1  = U f ( /2,  /2) and
                                                     3
               U 2 = U f (− /2, − /2)U r ( ). The identification of the largest corre-
               lation peak as a function of   indicates the right orientation of the
               pattern. This analysis for the two mentioned cases, respectively, can
               be done by adding the flexible rotator system 55  just before the com-
               mon correlator with an invariable filter mask or using the Van der
               Lugt correlator with a variable filter mask, which can be obtained by
               application of the spatial light modulator.
                 For rotation-invariant pattern recognition, the reference image h,
               presented in the polar coordinates, is decomposed into a linear sum
               of the circular harmonics. 58
                                   ∞                  ∞
                                  ,                  ,
                          h(r, 
) =   h l (r) exp (il
) =  c l (r, 
)
                                  l=−∞              l=−∞
                                        2
                                   1
                           h l (r) =     h(r, 
) exp (−il
) d
      (3.88)
                                  2
                                      0
                                                                 ±
               Since the Laguerre-Gaussian functions [see Eq. (3.73)] L m,n (r) =
                 l
               L (r, 
), where l = m − n and p = min{m, n}, form the complete
                 p
               orthonormal set, then h(r, 
) can be also represented as their linear
               superposition
                                         ∞   ∞
                                        , ,        l
                                h(r, 
) =      b l, p L (r, 
)      (3.89)
                                                   p
                                       l=−∞ p=0
               and therefore the circular harmonic c l (r, 
) is a linear superposition
               of the LG modes with the same index l = m − n
                                           ∞
                                          ,
                                                 l
                                  c l (r, 
) =  b l, p L (r, 
)     (3.90)
                                                 p
                                          p=0
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