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One-dimensional and separable convolution functions

Perform 1D convolution and separable filtering in 2 dimensions.

These generic convolution functions implement the standard convolution operation for a wide range of images and signals that fit into the required interface. They need a suitable kernel to operate.

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.12.1