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()