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 two child nodes, called “fine_segmentation” and “fine_checkerboard” with Baatz and Checkerboard algorithms respectively.

IMAGE

The segmentation parameters used were:

1. coarse_segmentation
   • euclidean distance threshold: 40
   • segments minimun size: 200
   1. fine_segmentation

_ fine_checkerboard

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