params¶
Module implementing the parameter classes for the LogPolarSolver Model
Author: Fabian A. Preiss
Classes
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Boundaries for image slicing. |
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Fourier transformed and filtered modified image. |
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Fourier transformed and filtered reference image. |
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Lower and upper kernel size of the DoG filter. |
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Gaussian difference filtered and windowed modified input image. |
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Gaussian difference filtered and windowed reference input image. |
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Modified image. |
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Rotation and scaling recovered image. |
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Rotation, scaling and translation recovered image. |
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Recovered rotation angle and error in degrees. |
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Recovered rotation angle in degrees and scaling factor including errors. |
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Recovered scaling factor and error in degrees. |
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Recovered x,y translation vector and error. |
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Reference image. |
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Upsampling factor. |
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Log-polar transformed of the fourier transformed modified image. |
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Log-polar transformed of the fourier transformed reference image. |
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Window radius exponent, larger wrexp => faster computation. |
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Window type for FFT filter, see scipy.signal.windows.get_window for possible choices. |
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Weighting factor scaling beween windowed image and image, range of [0,1]. |