HistogramEqualization¶
- MLModule¶
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Purpose¶
The module HistogramEqualization equalizes or normalizes a histogram.
Usage¶
If the input image is of floating-point data type, the number of bins must be specified explicitly with Num. Bins.
Details¶
Original Image |
Equalized Image |
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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¶
Num. Bins¶
- name: numBins, type: Integer, default: 100, minimum: 0, maximum: 1e+06, deprecated name: numberOfPots¶
Sets the number of bins for histograms computation if the input data is of floating-point data type.
Only normalize¶
- name: shouldOnlyNormalize, type: Bool, default: FALSE, deprecated name: onlyNormalize¶
If checked, the module only normalizes the histogram.
Otherwise, the module also equalizes the histogram.