Segment an image based on defined thresholds on one to three channels. Returns regions of interest for each 4-neighborhood segment of pixels above the thresholds.
Arbitrary bit-depth images with any number of channels.
Type: Image File (net.imagej.Dataset)
A space-separated ordered list of thresholds for each channel. The appropriate threshold is subtracted from each pixel value. If the pixel value is less than the threshold, the pixel value is counted as 0.
For example, 10 25 102 would specify a threshold of 10 for the first
channel, a threshold of 25 for the second channel, and a threshold of 102
for the third channel. If an image has fewer channels than
the number of thresholds listed, the extra threshold values will not
be used. If an image has more channels than the number of thresholds
listed, they will be recycled in order. If no thresholds are listed,
a threshold of 0 is implied.
Type: Text (String)
Segmented regions with fewer pixels than this parameter will be discarded.
Type: Integer (int)
Segmented regions with more pixels than this parameter will be discarded.
Type: Integer (int)
If false, pixels with values greater than the threshold
on any channel may be included in segments. If true,
only pixels with values greater than the threshold on
every channel may be included in segments.
Type: Logical (boolean)
Regions of interest for each 4-neighborhood
segment of pixels above the thresholds.
To view the results using the ROI Editor,
copy the Images column from the input
table into the results table.
Type: ROI Set File (imagej.data.overlay.AbstractOverlay[])
