HistogramEqualization

MLModule

genre	Filters
status	work-in-progress
author	Regina Ochotzki
package	MeVisLab/Standard
dll	MLFilter2
definition	mlFilter2.def
see also	Histogram, ImageStatistics
keywords	Histogram, Equalization, Normalization

Purpose

The module HistogramEqualization equalizes or normalizes a histogram.

Usage

If the input image is of floating point data type, the number of bins need to be specified explicity with Number of Buckets.

Details

For more information about histogram normalization and equalization, look here.

Original Image	Equalized Image

Windows

Default Panel

Input Fields

input0

name: input0, type: Image

Original scalar input image.

Output Fields

output0

name: output0, type: Image

Output scalar image with a voxel values altered by a normalized/equalized histogram.

Parameter Fields

Visible Fields

Number of Buckets

name: numberOfPots, type: Integer, default: 100, minimum: 0, maximum: 1e+06

Sets the number of bins for histograms computation if the input data is of floating point data type.

Only normalize

name: onlyNormalize, type: Bool, default: FALSE

If checked, the module only normalizes the histogram.

Otherwise, the module also equalizes the histogram.

Hidden Fields

floatImage

name: floatImage, type: Bool, default: FALSE