vlt.image.spatialPowerSpectralDensity

  SPATIALPOWERSPECTRALDENSITY - Computes a 1D radially averaged power spectrum.

    [SF, SF_POWER] = vlt.image.spatialPowerSpectralDensity(IMAGE, METERS_PER_PIXEL, ...)

    Calculates a 1D, orientation-independent power spectrum from a 2D image.

    Inputs:
      IMAGE           - A 2D matrix of double-precision values. NaN values
                        will be replaced by 0 before the FFT.
      METERS_PER_PIXEL- The physical size of each pixel in meters.

    Name-Value Pairs:
      'mask'          - A logical matrix of the same size as IMAGE. Pixels
                        where the mask is `false` are excluded.
      'window'        - A string specifying the windowing function to apply
                        before the FFT to reduce boundary artifacts. Can be
                        'hanning' (default) or 'none'.
      'fft_padding_factor' - A scalar >= 1 that increases the frequency
                        resolution by zero-padding the image. A value of 2
                        doubles the resolution. (Default: 1, no padding).

    Outputs:
      spatialFrequency - A 1D vector of the spatial frequency axis (cycles/meter).
      spatialPower     - A 1D vector of the mean power for each frequency.