Partition-based image representation as basis for user-assisted segmentation
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
CitationMarques, F., Marcotegui, B., Zanoguera, F., Correia, P., Mech, R., Wollborn, M. Partition-based image representation as basis for user-assisted segmentation. A: IEEE International Conference on Image Processing. "Proceedings ICIP 2000". Vancouver: Institute of Electrical and Electronics Engineers (IEEE), 2000.
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