This category contains 28 nodes.
Performs an efficient local binary thresholding on an input image.
Find local maxima on an n-dimensional image.
Performs an efficient multilevel thresholding on an input image. This node was implemented by Markus Friedrich (University of Konstanz, […]
Extracts the features energy, orientation and coherency from images.
Projects one dimension of the image onto the other ones.
Based on "Extraction of spots in biological images using multiscale products".
Reduce an image to its skeleton, a simplified representation which is topologically equivalent.
Returns a UCM based on a given boundary labeling and an image containing boundary weights.
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