Extract¶
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template<typename Func, typename BoundaryFunc, int Dim>
static void interpolation::extract(Data<Func, Dim> &chunk, const pybind11::detail::unchecked_reference<typename Func::VALUE_TYPE, Dim> &image, std::array<int, Dim> &point_floored, typename Func::VALUE_TYPE background_value)¶ Extract interpolation patch from given data around given position.
Different interpolation schemes require a different number of points to operate. This function takes the appropriate chunk and fills it with data based on the information of the function given.
- Parameters:
chunk – [inout] N-dimensional array data for the interpolation. Needs the right number of points in each dimension, e.g. 4 for cubic interpolation.
image – [in] The image from which to extract the data.
point_floored – [inout] The point in the image where to interpolate floored. Will point to the lower corner of the data grid used for the interpolation at the end.
background_value – [in] The background value to use in case the value is outside the image domain (might be ignored depending on the boundary function used)
- Template Parameters:
Func – The interpolation order func
BoundaryFunc – The boundary type to use. E.g. ConstantBoundary
Dim – The dimensionality of the given image