Painting algorithms for fuzzy classification
dc.book.title | Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on | |
dc.contributor.author | Gómez González, Daniel | |
dc.contributor.author | Montero De Juan, Francisco Javier | |
dc.contributor.author | Yáñez Gestoso, Francisco Javier | |
dc.contributor.author | Poidomani, Carmelo | |
dc.contributor.editor | Piscataway, N. J. | |
dc.date.accessioned | 2023-06-20T13:41:39Z | |
dc.date.available | 2023-06-20T13:41:39Z | |
dc.date.issued | 2004 | |
dc.description.abstract | Absfruct-Land cover analysis by means of remotely sensing images quite often suggest the existence of fuzzy classes, where no clear borders or particular shapes appear. In this paper we present an image classification aid algorithm which shows as its main output a processed image where each pixel is being colored according to the degree of similitude to their respective surrounding pixels. Such a processed image is therefore suggesting possible classes, to be implemented in a more sophisticated image classification process. A key underlying argument for this approach is the relevance of painting techniques in order to help decision makers to understand complex information relative to fuzzy image classification. | 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/29111 | |
dc.identifier.citation | Gomez, D., Montero, J., Yanez, J., Poidomani, C.: Painting algorithms for fuzzy classification. En: 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542). pp. 127-132. IEEE, Budapest, Hungary (2004) | |
dc.identifier.doi | 10.1109/FUZZY.2004.1375701 | |
dc.identifier.isbn | 0-7803-8353-2 | |
dc.identifier.officialurl | https//doi.org/10.1109/FUZZY.2004.1375701 | |
dc.identifier.relatedurl | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1375701&abstractAccess=no&userType=inst | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/53410 | |
dc.language.iso | eng | |
dc.page.final | 132 | |
dc.page.initial | 127 | |
dc.publisher | IEEE | |
dc.rights.accessRights | open access | |
dc.subject.cdu | 510.64 | |
dc.subject.keyword | Fuzzy set theory | |
dc.subject.keyword | Image classification | |
dc.subject.keyword | Painting | |
dc.subject.keyword | Remote sensing | |
dc.subject.ucm | Lógica simbólica y matemática (Matemáticas) | |
dc.subject.unesco | 1102.14 Lógica Simbólica | |
dc.title | Painting algorithms for fuzzy classification | en |
dc.type | book part | |
dc.volume.number | 1 | |
dcterms.references | A. Amo, D. Gómez, J. Montero and G. Biging: "Relevance and redundancy in fuzzy classification systems," Mathware and Soft Computing 8, 203-216 (2001). A. Amo, J. Montero and G. Biging: "Classifying pixels by means of fuzzy relations," International Journal of General Systems 29, 605-621 (2000). A. Amo, J. Montero, G. Biging and V. Cutello: "Fuzzy classification systems," European Journal of Operational Research 156, 495-507 (2004). A. Amo, J. Montero and V. Cutello: "On the principles of fuzzy classification," Proceedings of the annual North American Fuzzy Information Processing Society conference (NAFIPS); pp. 675-679 (1999). A. Amo, J. Montero, A. Fernández, M. López, J. Tordesillas and G. Biging: "Spectral fuzzy classification: an application," IEEE Transactions on Systems Man and ybernetics (C) 32, 42-48 (2002). J.C. Bezdek: Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum Press, New York, 1981. J.C. Bezdek and J.D. Harris: "Fuzzy partitions and relations: an axiomatic basis for clustering," Fuzzy Sets and Systems 1, 111-127 (1978). G.M. Foody: "The continuum of classification fuzziness in thematics mapping," Photogrammetric Engineering and Remote Sensing 65, 443-451 (1999). D. Gómez, J. Montero, J. Yáñez and C. Poidomani: "A Coloring Algorithm for Image Classification," Proceedings of Fuzzy Logic in Nuclear Science conference, F.L.I.N.S. (Blankenberghe, Belgium, September 1-4, 2004). D. Gómez, J. Montero, J. Yáñez and C. Poidomani: "A fuzzy graph coloring algorithm for image classification," Technical Report. Department of Statistics and Operational Research, Faculty of Mathematics, Complutense University of Madrid, Spain (2004). J. R. Jensen: Introductory Digital Image Processing. A Remote Sensing Perspective, Prentice Hall, New York, 1996. E.E. Kerre and M. Nachtegael: Fuzzy Techniques in Image Processing, Physica-Verlag, Heidelberg, 2000. L. Kóczy: "Fuzzy graphs in the evaluation and optimization of netwoks," Fuzzy sets and systems 46:307-319 (1992). J. Montero, A. Pearman and J. Tejada: "Fuzzy multicriteria decision support for budget allocation in the transport sector," TOP 3:47-68 (1995). J.N. Mordeson and S. Nair: Fuzzy graphs and Fuzzy Hypergraphs, Physica-Verlag, Heidelberg, 2000. S.K. Pal, A. Ghosh and M.K. Kundu: Soft Computing for Image Processing, Physica-Verlag, Heidelberg, 2000. 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 (vol. 2), Kluwer Academic Publishers. Boston, 1998; 331-395. P.P. Perny and B. Roy: "The use of fuzzy outranking relations in preference modelling," Fuzzy Sets and Systems 49:33-53 (1992). A. Rosenfeld: "Fuzzy graphs," In: L.A. Zadeh, K.S. Fu and M. Shimura (Eds.): Fuzzy sets and their applications to cognitive and decision processes, Academic Press, New York, 1975; 77-95. E.H. Ruspini: "A new approach to clustering," Information and Control 15:22-32 (1969). J. Siskos, J. Lochard and J. Lombard: "A multicriteria decision making methodology under fuzziness: application to the evaluation of radiological protection in nuclear power plants," in H.J.Zimmermann, L.A. Zadeh and B.R. Gaines (eds.): fuzzy Sets and Decision Analysts, North Holland, Amsterdam, 1984: 261-283. | |
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