Find pixels with highest value in their local surroundings, so called maxima. Output of this node is a binary image with the found pixels in white (value 1). When using the option "Output with Tolerance Areas", the output binary image will not only contain one highest value pixel in its area, but also all other pixels which have the same value (affected by "Noise Tolerance"). Otherwise these pixels positions are averaged to one pixel which will be marked in white (value 1).
To find minima instead, you might want to invert the input.
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
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