Partition-based image representation as basis for user-assisted segmentation

Abstract

This paper discusses the usefulness of a partition-based image representation in the context of user-assisted segmentation, and compares it with the two other most common image representations in this framework: pixel-based and transition-based. Partition-based image representations allow user-interaction at the region level, which is a very natural and friendly manner to interact with images. The paper describes various region-based implementations of the most common types of user interaction; namely, initial object selection, object refinement, imposing object characteristics, selection of specific objects, selection of objects that are similar to a previously selected one. In all cases, partition-based image representations, and their associated region-based tools for user interaction, show up to be very suitable for interactive image segmentation.

Peer Reviewed

Postprint (published version)