Image Features

Calculates features based on the complete image.

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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.

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Workflows

• 01_Active_Learning_PBCA_defaultKNIME Hub
• 01_Active_Learning_PBCA_defaultKNIME Hub
• 02_Active_Learning_PBCA_modular_ScoreKNIME Hub
• 06_High_Content_ScreeningKNIME Hub
• cell-segmentation-workerKNIME Hub
• Show all 18 workflows

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