Comparison of Histogram Properties
The
Histogram Properties dialogs change the way the
image data are binned into the histogram plot. The screen-shots
below show the result of varying the Properties on the same sample
of image data. This shows a sample of about 4000 pixels from an
integer type image in which the sample includes a small number of
very high pixels.
After selecting a target image, the following
sequence of commands was used to create this example:
-
The image window was brought to the front of the
window stack. The
Cursor Mode was activated using Ctrl+A. The pixel sample was selected by
adjusting the position and size of the image cursor. Then
Ctrl+A was used to switch out of
Cursor Mode to avoid accidentally moving the image cursor during
the tests.
-
Options were set using the
Histogram Properties dialog.
-
The histogram was plotted.
This procedure was repeated for each different plot
without changing the location of the image cursor. The results are
given below:
Bin Priority:
Automatic.
Range: Full
Range.
Only 1 or a few points of extremely high value push
the majority of data into a small number of bins at the left.
Bin Priority:
Automatic.
Range: Exclude lower
0.5% and upper 1.0%.
Excluding the extreme values from the data sample
allows auto binning to show more relevant information in the
central portion of the frequency distribution.
Binning: Bin
Count=10.
Range: Exclude the
lower 0.5% and upper 1% of data.
Binning: Bin
Width=10.
Range: Exclude the
lower 0.5% and upper 1% of data.
Binning: Bin
Width=1.
Range: Exclude the
lower 0.5% and upper 1% of data.
Related Topics
Histogram Plot
Histogram Properties
Mira Pro x64 User's Guide, Copyright Ⓒ 2023 Mirametrics, Inc. All
Rights Reserved.
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