This example shows how to perform multiple segmentation in the image, using coarse and fine resolutions. We use the three methods for segmentation currently available in InterIMAGE, namely Region Growing, Baatz and Checkerboard segmentations. This InterIMAGE interpretation project can be downloaded here: download.

The image used in this example is the following:

Firstly, you should create a new project, called, for instance “multiresolution_segmentation”, with the images you are going to use in your project (in this case a single image will be used).

IMAGE

After that, create a structure to perform the segmentations. In the following example, we firstly created a node called “coarse_segmentation” which applies the Region Growing segmentation. We also created three child nodes, called “fine_segmentation”, “fine_checkerboard”, and “background” with Baatz, Checkerboard and “Dummy top down” algorithms respectively. The node “background” will just be associated to remaining elements, apart from the city.

IMAGE

The segmentation parameters used were:

• coarse_segmentation (Region Growing)
  • Euclidean distance threshold: 40
  • Segments minimun size: 200
  • fine_segmentation (Baatz)
    • Compactness weight: 0.5
    • Color weight: 0.5
    • Scale parameter: 20
  • fine_checkerboard (Checkerboard)
    • Size of cells (pixels): 5

Then, start your project by clicking in the button highlighted in blue.

When the process finishes, the “Map Viewer” window will open and will show different levels and types of segmentation. You should create your own rules to classify the elements according to the child nodes (i.e. fine_segmentation and fine_checkerboard).

IMAGE