StreamableKNIME Image Types and Nodes version 1.8.3.202012050717 by University of Konstanz
Generic Convolver to convolve an image with a given kernel (i.e. another image). One way to create kernels is the "Convolution Kernel Creator"-node. Remark: All incoming kernels must have the same number of dimensions, else you have to use two different convolvers (one after the other).
The 'OutOfBounds Strategy' is used when an algorithm needs access to pixels which lie outside of an image (for example convolutions). The strategy determines how an image is extended, for examples see here
Mode how to handle the selected column. The processed column can be added to a new table, appended to the end of the table, or the old column can be replaced by the new result
Based on ImgLib2's Fourier Transformation implemenation. Image and Kernels are converted to FourierSpace and convolved there. Each convolution is applied on the input image individually. The results are stored in an additional dimension.
Based on ImgLib2's Fourier Transformation implemenation. Image and Kernels are converted to FourierSpace and convolved there. Each convolution is applied on the result of the last one
Direct convolution of the image. Convolution takes place in image space. Each convolution is applied on the result of the last one
Direct convolution of the image. Convolution takes place in image space. Each convolution is applied on the input image individually. The results are stored in an additional dimension.
To use this node in KNIME, install KNIME Image Processing from the following update site:
A zipped version of the software site can be downloaded here.
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