EdgeExtraction¶
This application computes edge features on every pixel of the input image selected channel
Description¶
This application computes edge features on a selected channel of the input.It uses different filters such as gradient, Sobel and Touzi
Parameters¶
Input Image -in image Mandatory
The input image on which the features are computed.
Feature Output Image -out image [dtype] Mandatory
Output image containing the edge features.
Selected Channel -channel int Default value: 1
The selected channel index
Edge feature -filter [gradient|sobel|touzi] Default value: gradient
Choice of edge feature
Gradient
This filter computes the gradient magnitude of the image at each pixel.Sobel
This filter uses the Sobel operator to calculate the image gradient and then finds the magnitude of this gradient vector.Touzi
This filter is more suited to radar images. It has a spatial parameter to avoid speckle noise perturbations. The larger the radius is, the less sensitive the filter is to the speckle noise, but micro edge will be missed.
Touzi options¶
X radius of the neighborhood -filter.touzi.xradius int Default value: 1
Y radius of the neighborhood -filter.touzi.yradius int Default value: 1
Available RAM (MB) -ram int Default value: 256
Available memory for processing (in MB).
Examples¶
From the command-line:
otbcli_EdgeExtraction -in qb_RoadExtract.tif -channel 1 -out Edges.tif
From Python:
import otbApplication
app = otbApplication.Registry.CreateApplication("EdgeExtraction")
app.SetParameterString("in", "qb_RoadExtract.tif")
app.SetParameterInt("channel", 1)
app.SetParameterString("out", "Edges.tif")
app.ExecuteAndWriteOutput()