SmallRegionsMerging¶
This application merges small regions of a segmentation result.
Description¶
Given a segmentation result and the original image, it will merge segments whose size in pixels is lower than minsize parameter with the adjacent segments with the adjacent segment with closest radiometry and acceptable size.
Small segments will be processed by increasing size: first all segments for which area is equal to 1 pixel will be merged with adjacent segments, then all segments of area equal to 2 pixels will be processed, until segments of area minsize.
Parameters¶
Input image -in image Mandatory
The input image, containing initial spectral signatures corresponding to the segmented image (inseg).
Segmented image -inseg image Mandatory
Segmented image where each pixel value is the unique integer label of the segment it belongs to.
Output Image -out image [dtype] Mandatory
The output image. The output image is the segmented image where the minimal segments have been merged.
Minimum Segment Size -minsize int Default value: 50
Minimum Segment Size. If, after the segmentation, a segment is of size strictly lower than this criterion, the segment is merged with the segment that has the closest sepctral signature.
Available RAM (MB) -ram int Default value: 256
Available memory for processing (in MB).
Examples¶
From the command-line:
otbcli_SmallRegionsMerging -in smooth.tif -inseg segmentation.tif -out merged.tif -minsize 50
From Python:
import otbApplication
app = otbApplication.Registry.CreateApplication("SmallRegionsMerging")
app.SetParameterString("in", "smooth.tif")
app.SetParameterString("inseg", "segmentation.tif")
app.SetParameterString("out", "merged.tif")
app.SetParameterInt("minsize", 50)
app.ExecuteAndWriteOutput()