A Structural Approach to Image Segmentation.
| dc.book.title | 2009 Ninth International Conference on Intelligent Systems Design and Applications | |
| dc.contributor.author | Gómez González, Daniel | |
| dc.contributor.author | Montero De Juan, Francisco Javier | |
| dc.contributor.author | Yáñez Gestoso, Francisco Javier | |
| dc.date.accessioned | 2023-06-20T05:44:25Z | |
| dc.date.available | 2023-06-20T05:44:25Z | |
| dc.date.issued | 2009-11-30 | |
| dc.description | 9th International Conference on Intelligent Systems Design and Applications | |
| dc.description.abstract | In this work we propose an efficient and polynomial algorithm for the graph segmentation problem based on the coloring problem for graphs. The work here presented extend the algorithm published in [10] making possible the segmentation to any class of graph (not only fuzzy-valued planar graphs) and also improving the computational complexity of the previous work. | en |
| dc.description.department | Depto. de Estadística e Investigación Operativa | |
| dc.description.faculty | Fac. de Ciencias Matemáticas | |
| dc.description.refereed | TRUE | |
| dc.description.status | pub | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/16900 | |
| dc.identifier.citation | Gomez, D., Montero, J., Yanez, J.: A Structural Approach to Image Segmentation. En: 2009 Ninth International Conference on Intelligent Systems Design and Applications. pp. 1329-1334. IEEE, Pisa (2009) | |
| dc.identifier.doi | 10.1109/ISDA.2009.98 | |
| dc.identifier.isbn | 978-1-4244-4735-0 | |
| dc.identifier.officialurl | https//doi.org/10.1109/ISDA.2009.98 | |
| dc.identifier.relatedurl | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5363984 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/45350 | |
| dc.language.iso | eng | |
| dc.page.final | 1334 | |
| dc.page.initial | 1329 | |
| dc.publication.place | Pisa, ITALY | |
| dc.publisher | IEEE | |
| dc.relation.projectID | TIN2009-07901 | |
| dc.rights.accessRights | restricted access | |
| dc.subject.cdu | 510.64 | |
| dc.subject.keyword | Decision-making | |
| dc.subject.keyword | Fuzzy numbers | |
| dc.subject.keyword | Classification | |
| dc.subject.keyword | Sets | |
| dc.subject.ucm | Lógica simbólica y matemática (Matemáticas) | |
| dc.subject.unesco | 1102.14 Lógica Simbólica | |
| dc.title | A Structural Approach to Image Segmentation. | en |
| dc.type | book part | |
| dcterms.references | A. Bechara, D. Tranel and H. Damasio, “Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions.” Brain 123, 2189-2202 (2000). H. Bustince, M. Pagola, E. Barrenechea, J. Fernndez, P. Melo-Pinto,P. Couto, H.R. Tizhoosh and J. Montero: “Ignorance functions, an application to the calculation of the threshold in prostate ultrasound images.” Fuzzy Sets and Systems (to appear). H. Bustince, J. Fernandez, R. Mesiar and J. Montero: “Overlap functions.” Submitted. D. Dubois and H. Prade: Fuzzy sets and Systems, Theory and Applications (Academic Press, Orlando, Florida, 1997). D. Dubois, H. Prade: “Ranking fuzzy numbers in the setting of possibility theory.” Information Sciences 30, 183-224 (1983). A. del Amo, J. Montero, G. Biging and V. Cutello, “Fuzzy classification systems.” European Journal of Operational Research 156, 459-507 (2004). A. del Amo, J. Montero, A. Fern´andez, M. L´opez, J. Tordesillas and G. Biging: “Spectral fuzzy classification: an application.” IEEE Transactions on Systems Man and Cybernetics (C) 32, 42-48 (2002). G. Facchinetti, R.G. Ricci: A characterization of a general class of ranking functions on triangular fuzzy numbers. Fuzzy Sets and Systems 146, 297-312 (2004). D. Gomez and J. Montero, “A discussion on aggregation operators.” Kybernetika 40, 107-120 (2004). D. Gomez, J. Montero and J. Yañez: “A coloring algorithm for image classification.” Information Sciences 176, 3645-3657 (2006). D. Gomez, J. Montero, J. Yañez and C. Poidomani, “A graph coloring algorithm approach for image segmentation”. Omega 35, 173-183, 2007. O. Kabva and S. Seikkala: “On fuzzy metric spaces.” Fuzzy Sets and Systems 12, 215-229 (1984). A. Kaufman, M. Gupta: Introduction to Fuzzy Arithmetic (Van Nostrand Reinhold, New York, 1985). J. Montero, D. G´omez and H. Bustince, “On the relevance of some families of fuzzy sets. ” Fuzzy Sets and Systems 158, 2429-2442 (2007). J. Montero, V. Lopez and D. Gomez, “The role of fuzziness in decision making.” In: D. Ruan et al., Fuzzy Logic: an spectrum of applied and theoretical issues, pp. 337-349 (Springer, Berlin, 2007). S. Mu˜noz, M.T. Ortuño, J. Ram´ırez, J. Yañez: “Coloring fuzzy graphs.”Omega 33, 211-221 (2005). M. Nachtegael, T. Mlange and E.E. Kerre, “The possibilities of fuzzy logic in image processing.” Lecture Notes in Computer Science 4815, 198-208 (2007). P.M. Pardalos, T. Mavridou and J. Xue: “The Graph coloring problem: A bibliographic survey.” In: D.Z. Du and P.M. Pardalos (Eds.), Handbook of Combinatorial Optimization, pp. 331-395 (Kluwer Academic Publishers, Boston, 1998). X. Wang and E.E. Kerre: “Reasonable properties for the ordering of fuzzy quantities (I).” Fuzzy Sets and Systems 118, 375-385 (2001). J. Yañez, S. Mu˜noz and J. Montero: “Graph coloring inconsistencies in image segmentation.” Computer Engineering and Information Sciences 1, 435-440 (2008). L.A. Zadeh: “Fuzzy sets.” Information and Control 8, 338-353 (1965). | |
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