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Intensity Ranges and Threshold Segmentations

The options in the Range box on the ROI Tools panel allow you to define an intensity domain of image data values and then apply the selected range as a threshold segmentation. You can also add or remove a range from a selected ROI. Intensity domains are also applicable to other tools, such as the morphological operators and ROI Painter tools. In this context, any voxel that corresponds to a value outside the range will not be selectable or affected by any applied operation.

An intensity range highlighted in red and selected for the fibers within a dataset is shown below.

Selected range example

The intensity range options are available in the Range box on the ROI Tools panel.

Range tools

Range tools

Range options
  Description

Define range

Applies a domain of intensity on 2D views of the selected image data, which is highlighted in a constant color.

You should note that the highlight color can be selected in the Colors preferences (see Selecting the Colors Preferences).

Lower Otsu*

Automatically sets the range between 0 and the Otsu threshold.

Upper Otsu*

Automatically sets the range between the Otsu threshold and the maximum value in the data range.

Show histogram

Toggles the visibility of the histogram.

Log Y

If selected, the Y-axis will be plotted in log scale.

Histogram

The histogram at the top of the panel shows how values are distributed within the selected image data. The darkest parts will appear on the left side of the graph, the midtones will appear in the middle, and the brightest parts (highlights) on the right side.

NOTE The values displayed directly below the histogram indicate the width of the histogram window, while the values below that indicate the range of the selected data.

Selected range

Indicates the minimum and maximum selected threshold values.

Plotted range/Data range

Indicates the range of values plotted on the histogram, as well as the minimum and maximum values within the selected image data.

Interpolation

Lets you choose an interpolation method — Nearest, Linear, or Cubic — in cases in which you add to or remove labeled voxels from a selected region of interest that has different spacing than the dataset on which the range is defined.

Add

Adds labeled voxels within the selected range to the current region of interest.

Add to New

Creates a new region of interest in which all voxels within the selected range will be labeled.

Remove

Removes labeled voxels within the selected range from the current region of interest.

* In the Otsu thresholding technique, the optimal value that minimizes the weighted within class variances of two classes — foreground and background — is computed. You should note that minimizing the within class variance is the same as maximizing the between class variance.

 

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