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Normalization

THIS position should be used for a brief introduction (max 2 sentences!) of the logic, stating WHAT and WHY it is doing something.

This processor is used to generate normalized images out of the input image stack. This is performed according to the specified mean and sigma values.

Mask

Specifies whether a circular mask is used on the images

Mean

The desired mean pixel value after normalization

Sigma

The desired pixel value standard deviation after normalization

Auto-crop

If activated, automatically crops each image to the minimum size.

Radius (fraction)

Determines the radius of the applied circular mask.

Accepted value range: [0…1]

io::input

Stack of input images(1D,2D or 3D)

io::output

The output images are normalized.

In this paragraph, the “HOW a logic works under the hood” and WHY someone should use it can be elaborated with higher detail. Describes a scenario in an image processing workflow where this logic can be used to solve the resulting problem. Also, wikipages, publications or anything else describing the theory behind an algorithm should be linked here, if applicable.