This thesis presents a new tree structure that codes the grey scale information of an image. Based on a scale-space processor called the sieve, a scale tree represents the image in a hierarchical manner in which nodes of the tree describe features of the image at a specific scales.

This representation can be used to perform different image processing operations. Filtering, segmentation or motion detection can be accomplished by parsing the tree using different attributes associated with the nodes