This example shows how to perform a supervised classifiation using InterIMAGE.

Example 3 - Database

This zip file contains:

• tijuca.tif

• Start InterIMAGE. Click on File → New Project and fill the fields according to the following:

• Check the Default Image checkbox and click the Add button. Click OK.
• Create a semantic net like this one:

• Select the Image tab and click the Add button. Set its Keyname to composed and click the Composition button.

→

• In the dialog that comes up set the color composition according to the image below:

• Close the dialog. Click Save. Another image layer is added and you should see something like this:

• Save the project. Select the Scene node and click the Samples Editor button.

• Maximize the window that comes up. Select the TA_Baatz_Segmenter operator. Set its parameters according to the following:

→

• Click the Segment button. Once the segmentation is finished, make sure the Buildings class is selected and click the Collect Samples button.

• Now, click on some objects that belong to the Buildings class (To deselect an object just click it again).

• When you are done, repeat the process to the other two classes. Set the Background Image to the other composition created previously can be helpful here.
• After, click the Collect Samples again.