Outdated version of the documentation. Find the latest one here.

` `

Segmentation

Connected Component Segmentation

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Mask expression [string]

Optional.

<put parameter description here>

Default: None

Connected Component Expression [string]

<put parameter description here>

Default: None

Minimum Object Size [number]

<put parameter description here>

Default: 2

OBIA Expression [string]

Optional.

<put parameter description here>

Default: None

Default elevation [number]

<put parameter description here>

Default: 0

Outputs

Output Shape [vector]
<put output description here>

Console usage

processing.runalg('otb:connectedcomponentsegmentation', -in, -mask, -expr, -minsize, -obia, -elev.default, -out)

See also

Exact Large-Scale Mean-Shift segmentation, step 2

Description

<put algorithm description here>

Parameters

Filtered image [raster]
<put parameter description here>
Spatial image [raster]

Optional.

<put parameter description here>

Range radius [number]

<put parameter description here>

Default: 15

Spatial radius [number]

<put parameter description here>

Default: 5

Minimum Region Size [number]

<put parameter description here>

Default: 0

Size of tiles in pixel (X-axis) [number]

<put parameter description here>

Default: 500

Size of tiles in pixel (Y-axis) [number]

<put parameter description here>

Default: 500

Directory where to write temporary files [file]

Optional.

<put parameter description here>

Temporary files cleaning [boolean]

<put parameter description here>

Default: True

Outputs

Output Image [raster]
<put output description here>

Console usage

processing.runalg('otb:exactlargescalemeanshiftsegmentationstep2', -in, -inpos, -ranger, -spatialr, -minsize, -tilesizex, -tilesizey, -tmpdir, -cleanup, -out)

See also

Exact Large-Scale Mean-Shift segmentation, step 3 (optional)

Description

<put algorithm description here>

Parameters

Input image [raster]
<put parameter description here>
Segmented image [raster]
<put parameter description here>
Minimum Region Size [number]

<put parameter description here>

Default: 50

Size of tiles in pixel (X-axis) [number]

<put parameter description here>

Default: 500

Size of tiles in pixel (Y-axis) [number]

<put parameter description here>

Default: 500

Outputs

Output Image [raster]
<put output description here>

Console usage

processing.runalg('otb:exactlargescalemeanshiftsegmentationstep3optional', -in, -inseg, -minsize, -tilesizex, -tilesizey, -out)

See also

Exact Large-Scale Mean-Shift segmentation, step 4

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmented image [raster]
<put parameter description here>
Size of tiles in pixel (X-axis) [number]

<put parameter description here>

Default: 500

Size of tiles in pixel (Y-axis) [number]

<put parameter description here>

Default: 500

Outputs

Output GIS vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:exactlargescalemeanshiftsegmentationstep4', -in, -inseg, -tilesizex, -tilesizey, -out)

See also

Hoover compare segmentation

Description

<put algorithm description here>

Parameters

Input ground truth [raster]
<put parameter description here>
Input machine segmentation [raster]
<put parameter description here>
Background label [number]

<put parameter description here>

Default: 0

Overlapping threshold [number]

<put parameter description here>

Default: 0.75

Correct detection score [number]

<put parameter description here>

Default: 0.0

Over-segmentation score [number]

<put parameter description here>

Default: 0.0

Under-segmentation score [number]

<put parameter description here>

Default: 0.0

Missed detection score [number]

<put parameter description here>

Default: 0.0

Outputs

Colored ground truth output [raster]
<put output description here>
Colored machine segmentation output [raster]
<put output description here>

Console usage

processing.runalg('otb:hoovercomparesegmentation', -ingt, -inms, -bg, -th, -rc, -rf, -ra, -rm, -outgt, -outms)

See also

Segmentation (cc)

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmentation algorithm [selection]

<put parameter description here>

Options:

  • 0 — cc

Default: 0

Condition [string]

<put parameter description here>

Default: None

Processing mode [selection]

<put parameter description here>

Options:

  • 0 — vector

Default: 0

Writing mode for the output vector file [selection]

<put parameter description here>

Options:

  • 0 — ulco
  • 1 — ovw
  • 2 — ulovw
  • 3 — ulu

Default: 0

Mask Image [raster]

Optional.

<put parameter description here>

8-neighbor connectivity [boolean]

<put parameter description here>

Default: True

Stitch polygons [boolean]

<put parameter description here>

Default: True

Minimum object size [number]

<put parameter description here>

Default: 1

Simplify polygons [number]

<put parameter description here>

Default: 0.1

Layer name [string]

<put parameter description here>

Default: layer

Geometry index field name [string]

<put parameter description here>

Default: DN

Tiles size [number]

<put parameter description here>

Default: 1024

Starting geometry index [number]

<put parameter description here>

Default: 1

OGR options for layer creation [string]

Optional.

<put parameter description here>

Default: None

Outputs

Output vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:segmentationcc', -in, -filter, -filter.cc.expr, -mode, -mode.vector.outmode, -mode.vector.inmask, -mode.vector.neighbor, -mode.vector.stitch, -mode.vector.minsize, -mode.vector.simplify, -mode.vector.layername, -mode.vector.fieldname, -mode.vector.tilesize, -mode.vector.startlabel, -mode.vector.ogroptions, -mode.vector.out)

See also

Segmentation (edison)

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmentation algorithm [selection]

<put parameter description here>

Options:

  • 0 — edison

Default: 0

Spatial radius [number]

<put parameter description here>

Default: 5

Range radius [number]

<put parameter description here>

Default: 15

Minimum region size [number]

<put parameter description here>

Default: 100

Scale factor [number]

<put parameter description here>

Default: 1

Processing mode [selection]

<put parameter description here>

Options:

  • 0 — vector

Default: 0

Writing mode for the output vector file [selection]

<put parameter description here>

Options:

  • 0 — ulco
  • 1 — ovw
  • 2 — ulovw
  • 3 — ulu

Default: 0

Mask Image [raster]

Optional.

<put parameter description here>

8-neighbor connectivity [boolean]

<put parameter description here>

Default: True

Stitch polygons [boolean]

<put parameter description here>

Default: True

Minimum object size [number]

<put parameter description here>

Default: 1

Simplify polygons [number]

<put parameter description here>

Default: 0.1

Layer name [string]

<put parameter description here>

Default: layer

Geometry index field name [string]

<put parameter description here>

Default: DN

Tiles size [number]

<put parameter description here>

Default: 1024

Starting geometry index [number]

<put parameter description here>

Default: 1

OGR options for layer creation [string]

Optional.

<put parameter description here>

Default: None

Outputs

Output vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:segmentationedison', -in, -filter, -filter.edison.spatialr, -filter.edison.ranger, -filter.edison.minsize, -filter.edison.scale, -mode, -mode.vector.outmode, -mode.vector.inmask, -mode.vector.neighbor, -mode.vector.stitch, -mode.vector.minsize, -mode.vector.simplify, -mode.vector.layername, -mode.vector.fieldname, -mode.vector.tilesize, -mode.vector.startlabel, -mode.vector.ogroptions, -mode.vector.out)

See also

Segmentation (meanshift)

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmentation algorithm [selection]

<put parameter description here>

Options:

  • 0 — meanshift

Default: 0

Spatial radius [number]

<put parameter description here>

Default: 5

Range radius [number]

<put parameter description here>

Default: 15

Mode convergence threshold [number]

<put parameter description here>

Default: 0.1

Maximum number of iterations [number]

<put parameter description here>

Default: 100

Minimum region size [number]

<put parameter description here>

Default: 100

Processing mode [selection]

<put parameter description here>

Options:

  • 0 — vector

Default: 0

Writing mode for the output vector file [selection]

<put parameter description here>

Options:

  • 0 — ulco
  • 1 — ovw
  • 2 — ulovw
  • 3 — ulu

Default: 0

Mask Image [raster]

Optional.

<put parameter description here>

8-neighbor connectivity [boolean]

<put parameter description here>

Default: True

Stitch polygons [boolean]

<put parameter description here>

Default: True

Minimum object size [number]

<put parameter description here>

Default: 1

Simplify polygons [number]

<put parameter description here>

Default: 0.1

Layer name [string]

<put parameter description here>

Default: layer

Geometry index field name [string]

<put parameter description here>

Default: DN

Tiles size [number]

<put parameter description here>

Default: 1024

Starting geometry index [number]

<put parameter description here>

Default: 1

OGR options for layer creation [string]

Optional.

<put parameter description here>

Default: None

Outputs

Output vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:segmentationmeanshift', -in, -filter, -filter.meanshift.spatialr, -filter.meanshift.ranger, -filter.meanshift.thres, -filter.meanshift.maxiter, -filter.meanshift.minsize, -mode, -mode.vector.outmode, -mode.vector.inmask, -mode.vector.neighbor, -mode.vector.stitch, -mode.vector.minsize, -mode.vector.simplify, -mode.vector.layername, -mode.vector.fieldname, -mode.vector.tilesize, -mode.vector.startlabel, -mode.vector.ogroptions, -mode.vector.out)

See also

Segmentation (mprofiles)

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmentation algorithm [selection]

<put parameter description here>

Options:

  • 0 — mprofiles

Default: 0

Profile Size [number]

<put parameter description here>

Default: 5

Initial radius [number]

<put parameter description here>

Default: 1

Radius step. [number]

<put parameter description here>

Default: 1

Threshold of the final decision rule [number]

<put parameter description here>

Default: 1

Processing mode [selection]

<put parameter description here>

Options:

  • 0 — vector

Default: 0

Writing mode for the output vector file [selection]

<put parameter description here>

Options:

  • 0 — ulco
  • 1 — ovw
  • 2 — ulovw
  • 3 — ulu

Default: 0

Mask Image [raster]

Optional.

<put parameter description here>

8-neighbor connectivity [boolean]

<put parameter description here>

Default: True

Stitch polygons [boolean]

<put parameter description here>

Default: True

Minimum object size [number]

<put parameter description here>

Default: 1

Simplify polygons [number]

<put parameter description here>

Default: 0.1

Layer name [string]

<put parameter description here>

Default: layer

Geometry index field name [string]

<put parameter description here>

Default: DN

Tiles size [number]

<put parameter description here>

Default: 1024

Starting geometry index [number]

<put parameter description here>

Default: 1

OGR options for layer creation [string]

Optional.

<put parameter description here>

Default: None

Outputs

Output vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:segmentationmprofiles', -in, -filter, -filter.mprofiles.size, -filter.mprofiles.start, -filter.mprofiles.step, -filter.mprofiles.sigma, -mode, -mode.vector.outmode, -mode.vector.inmask, -mode.vector.neighbor, -mode.vector.stitch, -mode.vector.minsize, -mode.vector.simplify, -mode.vector.layername, -mode.vector.fieldname, -mode.vector.tilesize, -mode.vector.startlabel, -mode.vector.ogroptions, -mode.vector.out)

See also

Segmentation (watershed)

Description

<put algorithm description here>

Parameters

Input Image [raster]
<put parameter description here>
Segmentation algorithm [selection]

<put parameter description here>

Options:

  • 0 — watershed

Default: 0

Depth Threshold [number]

<put parameter description here>

Default: 0.01

Flood Level [number]

<put parameter description here>

Default: 0.1

Processing mode [selection]

<put parameter description here>

Options:

  • 0 — vector

Default: 0

Writing mode for the output vector file [selection]

<put parameter description here>

Options:

  • 0 — ulco
  • 1 — ovw
  • 2 — ulovw
  • 3 — ulu

Default: 0

Mask Image [raster]

Optional.

<put parameter description here>

8-neighbor connectivity [boolean]

<put parameter description here>

Default: True

Stitch polygons [boolean]

<put parameter description here>

Default: True

Minimum object size [number]

<put parameter description here>

Default: 1

Simplify polygons [number]

<put parameter description here>

Default: 0.1

Layer name [string]

<put parameter description here>

Default: layer

Geometry index field name [string]

<put parameter description here>

Default: DN

Tiles size [number]

<put parameter description here>

Default: 1024

Starting geometry index [number]

<put parameter description here>

Default: 1

OGR options for layer creation [string]

Optional.

<put parameter description here>

Default: None

Outputs

Output vector file [vector]
<put output description here>

Console usage

processing.runalg('otb:segmentationwatershed', -in, -filter, -filter.watershed.threshold, -filter.watershed.level, -mode, -mode.vector.outmode, -mode.vector.inmask, -mode.vector.neighbor, -mode.vector.stitch, -mode.vector.minsize, -mode.vector.simplify, -mode.vector.layername, -mode.vector.fieldname, -mode.vector.tilesize, -mode.vector.startlabel, -mode.vector.ogroptions, -mode.vector.out)

See also