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Image Features

KNIME Image Types and Nodes version 1.8.3.202007201523 by University of Konstanz

Calculates features based on the complete image.

Options

Features

Tamura
  • Calculates 6 Tamura features: Granularity, Contrast, Kurtosis of Directionality Standard Deviation of Directionality, Maximal directionality, Skewness
First order statistics
  • Calculates the moments of the first order statistics. The following features are computed: Min, Max, Mean, Geometric Mean, Sum, Square of Sums, Standard Deviation, Variance, Skewness, Kurtosis, Quantil25, Quantil50, Quantil75, user defined Quantil, Histogram. Please note that the Geometric Mean can only be computed on unsigned datatypes. Invalid calculations (i.e. NaN) result in missing cells.
Haralick
  • Statistical features based on gray-level co-occurrence matrix. Rotation invariance can be reached by averaging over the four directional co-occurrence matrices (activate 'compute average'). See http://murphylab.web.cmu.edu/publications/boland/boland_node26.html for more information.

Input Ports

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Images

Output Ports

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Feature table

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

To use this node in KNIME, install KNIME Image Processing from the following update site:

KNIME 4.2
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Developers

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