We have developed a font-end tool - image object labeler, which enables us to segment a forest image into its various constituents so that they can be distinctly labeled. The manual transcription work generates training and reference data for the automatic image segmentation task.

Here is the Tcl-Tk wrapper interface of the labeler (click for magnification):


Some example segmentations:

Example 1 Example 2