Exact Large-Scale Mean-Shift segmentation, step 4

Brief Description

This application performs the fourth step of the exact Large-Scale Mean-Shift segmentation workflow [1].

Tags

Segmentation, LSMS

Long Description

Given a segmentation result (label image), that may come from the LSMSSegmentation [2] application (out parameter) or have been processed for small regions merging [3] (out parameter), it will convert it to a GIS vector file containing one polygon per segment. Each polygon contains additional fields: mean and variance of each channels from input image (in parameter), segmentation image label, number of pixels in the polygon. For large images one can use the tilesizex and tilesizey parameters for tile-wise processing, with the guarantees of identical results.

Parameters

Input Image (in): The input image, containing initial spectral signatures corresponding to the segmented image (inseg).
Segmented image (inseg): Segmented image where each pixel value is the unique integer label of the segment it belongs to.
Output GIS vector file (out): The output GIS vector file, representing the vectorized version of the segmented image where the features of the polygons are the radiometric means and variances.
Size of tiles in pixel (X-axis) (tilesizex): Size of tiles along the X-axis for tile-wise processing.
Size of tiles in pixel (Y-axis) (tilesizey): Size of tiles along the Y-axis for tile-wise processing.
Available RAM (Mb) (ram): Available memory for processing (in MB)
Load otb application from xml file (inxml): Load otb application from xml file
Save otb application to xml file (outxml): Save otb application to xml file

Limitations

This application is part of the Large-Scale Mean-Shift segmentation workflow (LSMS) and may not be suited for any other purpose.

Authors

David Youssefi