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itk_wrap_class("itk::GradientRecursiveGaussianImageFilter" POINTER)
# Input can be a scalar image or a vector image
# The output is a covector image, with:
# number of components = 2 * number of components of the input
foreach(image_dim ${ITK_WRAP_IMAGE_DIMS})
# Input type: scalar image
foreach(t ${WRAP_ITK_SCALAR})
foreach(cv ${WRAP_ITK_COV_VECTOR_REAL})
itk_wrap_template("${ITKM_I${t}${image_dim}}${ITKM_I${cv}2${image_dim}}"
"${ITKT_I${t}${image_dim}},${ITKT_I${cv}2${image_dim}}")
endforeach()
endforeach()
# Input type: vectorial image
foreach(input_vector_dim ${ITK_WRAP_VECTOR_COMPONENTS})
math(EXPR output_vector_dim ${input_vector_dim}*2)
list(
FIND
ITK_WRAP_VECTOR_COMPONENTS
"${output_vector_dim}"
index)
if(index GREATER -1)
foreach(t ${WRAP_ITK_VECTOR_REAL})
foreach(cv ${WRAP_ITK_COV_VECTOR_REAL})
itk_wrap_template(
"${ITKM_I${t}${input_vector_dim}${image_dim}}${ITKM_I${cv}${output_vector_dim}${image_dim}}"
"${ITKT_I${t}${input_vector_dim}${image_dim}},${ITKT_I${cv}${output_vector_dim}${image_dim}}")
endforeach()
endforeach()
endif()
endforeach()
endforeach()
itk_end_wrap_class()
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