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Image fusion based on principal component analysis and slicing image transformation
dc.contributor.author | Acho Zuppa, Leonardo |
dc.contributor.author | Buenestado Caballero, Pablo |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2018-11-09T07:22:41Z |
dc.date.available | 2018-11-09T07:22:41Z |
dc.date.issued | 2018 |
dc.identifier.citation | Acho, L., Buenestado, P. Image fusion based on principal component analysis and slicing image transformation. A: International Conference on Circuits, Systems, Communications and Computers. "CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book". EDP Sciences, 2018, p. 1-13. |
dc.identifier.isbn | 2261-236X |
dc.identifier.uri | http://hdl.handle.net/2117/123806 |
dc.description.abstract | Image fusion deals with the ability to integrate data from image sensors at different instants when the source information is uncertain. Although there exist many techniques on the subject, in this paper, we develop two originative techniques based on principal component analysis and slicing image transformation to efficiently fuse a small set of noisy images. For instance, in neural data fusion, this approach requires a considerable number of corrupted images to efficiently produce the desired outcome and also requiring a considerable computing time because of the dynamics involved in the fusion data process. In our approaches, the computation time is considerably smaller. This results appealing to increasing feasibility, for instance, in remote sensing or wireless sensor network. Moreover, and according to our numerical experiments, when our methods are compared against the neural data fusion algorithm, they present better performance. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | EDP Sciences |
dc.rights | Attribution 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria electrònica |
dc.subject.lcsh | Image analysis |
dc.subject.lcsh | Multisensor data fusion |
dc.subject.other | Image |
dc.subject.other | PCA |
dc.subject.other | Slicing |
dc.subject.other | Data fusion |
dc.title | Image fusion based on principal component analysis and slicing image transformation |
dc.type | Conference report |
dc.subject.lemac | Fusió multisensorial de dades |
dc.subject.lemac | Imatges -- Anàlisi -- Models matemàtics |
dc.contributor.group | Universitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions |
dc.identifier.doi | 10.1051/matecconf/201821004020 |
dc.relation.publisherversion | https://www.matec-conferences.org/articles/matecconf/abs/2018/69/matecconf_cscc2018_04020/matecconf_cscc2018_04020.html |
dc.rights.access | Open Access |
local.identifier.drac | 23394306 |
dc.description.version | Postprint (published version) |
local.citation.author | Acho, L.; Buenestado, P. |
local.citation.contributor | International Conference on Circuits, Systems, Communications and Computers |
local.citation.publicationName | CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book |
local.citation.startingPage | 1 |
local.citation.endingPage | 13 |