RT Book, Section
T1 A methodology for hierarchical image segmentation evaluation
A1 Rodríguez, Juan Tinguaro
A1 Guada, C.
A1 Gomez, D.
A1 Yáñez, Javier
A1 Montero, Javier
A2 Carvalho, Joao Paulo
A2 Lesot, Marie-Jeanne
A2 Kaymak, Uzay
A2 Vieira, Susana
A2 Bouchon-Meunier, Bernadette
A2 Yager, Ronald R.
AB This paper proposes a method to evaluate hierarchical image segmentation procedures, in order to enable comparisons between different hierarchical algorithms and of these with other (non-hierarchical) segmentation techniques (as well as with edge detectors) to be made. The proposed method builds up on the edge-based segmentation evaluation approach by considering a set of reference human segmentations as a sample drawn from the population of different levels of detail that may be used in segmenting an image. Our main point is that, since a hierarchical sequence of segmentations approximates such population, those segmentations in the sequence that best capture each human segmentation level of detail should provide the basis for the evaluation of the hierarchical sequence as a whole. A small computational experiment is carried out to show the feasibility of our approach.
PB Springer
SN 978-3-319-40596-4
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/24888
UL https://hdl.handle.net/20.500.14352/24888
LA eng
NO 16th International Conference, IPMU 2016Eindhoven, The Netherlands, June 20–24, 2016Proceedings.
NO Ministerio de Ciencia e Innovación (MICINN)
NO Comunidad de Madrid
DS Docta Complutense
RD 6 oct 2024