correlation_fft — Compute the correlation of two images in the frequency domain.
correlation_fft(ImageFFT1, ImageFFT2 : ImageCorrelation : : )
correlation_fft calculates the correlation of the
Fourier-transformed input images in the frequency domain. The correlation
is calculated by multiplying ImageFFT1 with the complex
conjugate of ImageFFT2. It should be noted that in order
to achieve a correct scaling of the correlation in the spatial
domain, the operators fft_generic or rft_generic with
Norm = 'none' must be used for the forward
transform and fft_generic or rft_generic with
Norm = 'n' for the reverse transform.
If ImageFFT1 and ImageFFT2 contain the same number
of images, the
corresponding images are correlated pairwise. Otherwise,
ImageFFT2 must contain only one single image. In this case, the
correlation is performed for each image of ImageFFT1 with
ImageFFT2 .
The filtering is always performed on the entire image, i.e., the domain of the image is ignored.
ImageFFT1 (input_object) (multichannel-)image(-array) → object (complex)
Fourier-transformed input image 1.
ImageFFT2 (input_object) (multichannel-)image(-array) → object (complex)
Fourier-transformed input image 2.
Number of elements: ImageFFT2 == ImageFFT1 || ImageFFT2 == 1
ImageCorrelation (output_object) image(-array) → object (complex)
Correlation of the input images in the frequency domain.
* Compute the auto-correlation of an image. get_image_size(Image,Width,Height) rft_generic(Image,ImageFFT,'to_freq','none','complex',Width) correlation_fft(ImageFFT,ImageFFT,Correlation) rft_generic(Correlation,AutoCorrelation,'from_freq','n','real',Width)
correlation_fft returns 2 (H_MSG_TRUE) if all parameters are correct.
If the input is empty the behavior can be set via
set_system(::'no_object_result',<Result>:).
If necessary, an exception is raised.
fft_generic,
fft_image,
rft_generic
fft_generic,
fft_image_inv,
rft_generic
Foundation