StreamableKNIME Image Types and Nodes version 18.104.22.168912051914 by University of Konstanz
The local thresholding is performed in an efficient way. If possible (depends on the chosen method) an integral image approach is used which is very fast.
Activates the usage of integral images. If the sum of all pixels is smaller than the internal type of the integral image overflows will occur.
Select a rectangle or circle neighborhood as sliding window.
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
The size of the span which will be used by the algorithm.
This component allows the selection of dimensions of interest. If an algorithm cannot, as it only supports fewer dimensions than the number of dimensions of the image, or shouldnot, as one wants to run the algorithm only on subsets of the image, be applied on the complete image, the dimension selection can be used to define the plane/cube/hypercube on which the algorithm is applied. Example 1 with three dimensional Image (X,Y,Time): An algorithm cannot be applied to the complete image, as it only supports two dimensional images. If you select e.g. X,Y then the algorithm will be applied to all X,Y planes individually. Example 2 with three dimensional Image (X,Y,Time): The algorithm can be applied in two, three or even more dimensions. Select the dimensions to define your plane/cube/hypercube on which the algorithm will be applied.
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
To use this node in KNIME, install KNIME Image Processing from the following update site:
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