Parameter

Description

Channels

Sets the processing target channels.

Method

Sets the normalization method to apply.

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Histogram based

This method uses two thresholds to define the range of intensities to stretch to the whole intensity range of the image set's pixel type (0...1 for float). Everything below the lower threshold is set to 0, everything above the upper threshold is set to the maximum. The thresholds are given as percentiles and are thus based on the data.

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Mean variance

This method uses two thresholds to define the range of intensities to stretch to the whole intensity range of the image set's pixel type (0...1 for float). Everything below the lower threshold is set to 0, everything above the upper threshold is set to the maximum. The thresholds are calculated based on the mean +/- a number of standard deviations.

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Sigmoid

This method uses a sigmoid curve to non-linearly stretch the intensity range around a given intensity of interest.

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Simple

This method stretches the minimum and maximum of the data to the complete available intensity range.

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Adaptive histogram based

This method can be used to enhance image contrast and produce an adaptively equalized histogram. It is working locally by examining the histogram in the local neighborhood of each pixel. The output is scaled to the complete available intensity range.

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Advanced

This method normalizes the local contrast between the objects and the background. The output of this filter can be used to separate objects from the background using a single threshold.

Diameter

Sets the reference filter diameter.
Note: You can measure the diameter directly from the dataset with the Measurements tool.