StreamableKNIME Image Types and Nodes version 22.214.171.124009230803 by University of Konstanz
This filter is based on the algorithm described in the following paper: Lee, Jong-Sen (1983), "Digital image smoothing and the sigma filter", Computer vision, graphics, and image processing 24 (2): 255-269, CODEN: CVGPDB, ISSN 0734-189X From the website: "The filter smooths an image by taking an average over the neighboring pixels, but only includes those pixels that have a value not deviating from the current pixel by more than a given range. The range is defined by the standard deviation of the pixel values within the neighborhood ("Use Pixels Within ... Sigmas"). If the number of pixels in this range is too low (less than "Minimum Pixel Fraction"), averaging over all neighboring pixels is performed. With the "Outlier Aware" option, averaging over all neighboring pixels excludes the center pixel. Thus, outliers having a value very different from the surrounding are not included in the average and, thus, completely eliminated." (detail see: http://fiji.sc/wiki/index.php/Sigma_Filter)
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.
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
To use this node in KNIME, install KNIME Image Processing from the following update site:
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