Now, let’s use the segmentation application (launch it with shortcut CTRL+A). We let the user take a look at the application’s documentation; let’s simply say that as we wish we could display the segmentation with Monteverdi, we must tell the application to output the segmentation in raster format. Thus, the value of the mode option must be set to raster. The following figure ( 2.8) shows the original image and the labels image.
Gray colors aren’t very convenient for visualizing a segmentation. That’s why we are going to use another application, the ColorMapping one (launch it with the shortcut CTRL+A as usual). There are many ways to use this application (see the documentation for more details). We wish we could colour the segmentation so that color difference between adjacent regions is maximized. For this purpose, we can use the method optimal (set the value of this option to optimal). The figure below ( 2.9) shows the result of such colorization.
Now it should be nice to superimpose this colorization with the original image to assess the quality of the segmentation. Monteverdi provides the user a very simple way to do it. Once the two images are loaded in Monteverdi and that the original image is placed on the top of the stack, the user just has to select the translucency layer effect and set the size of the exploration circle to convenience. The figure below ( 2.10) shows the result of such colorization. We encourage the reader to test the other layer effects.