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Performance analysis of homomorphic systems for image change detection

dc.book.titlePattern Recognition and Image Analysis, pt 1, Proceedings
dc.contributor.authorPajares Martínsanz, Gonzalo
dc.contributor.authorRuz Ortiz, José Jaime
dc.contributor.authorCruz García, Jesús Manuel de la
dc.date.accessioned2023-06-20T13:40:38Z
dc.date.available2023-06-20T13:40:38Z
dc.date.issued2005
dc.description© Springer-Verlag Berlin Heidelberg 2005. Iberian Conference on Pattern Recongnition and Image Analysis (2nd. Jun 07-09, 2005. Estoril, Portugal)
dc.description.abstractUnder illumination variations image change detection becomes a difficult task. Some existing image change detection methods try to compensate this effect. It is assumed that an image can be expressed in terms of its illumination and reflectance components. Detection of changes in the reflectance component is directly related to scene changes. In general, scene illumination varies slowly over space, whereas the reflectance component contains mainly spatially high frequency details. The intention is to apply the image change detection algorithm to the reflectance component only. The aim of this work is to analyze the performance of different homomorphic pre-filtering schemes for extracting the reflectance component so that the image change detection algorithm is applied only to this component. This scheme is not suitable for scenes without spatial high frequency details.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/25005
dc.identifier.isbn3-540-26153-2
dc.identifier.officialurlhttp://link.springer.com/chapter/10.1007/11492429_68
dc.identifier.relatedurlhttp://link.springer.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53342
dc.issue.number3522
dc.journal.titlePattern Recognition and Image Analysis
dc.language.isoeng
dc.page.final570
dc.page.initial563
dc.publisherSpringer-Verlag Berlín
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordComputer Science Theory & Methods
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.17 Informática
dc.titlePerformance analysis of homomorphic systems for image change detection
dc.typebook part
dcterms.references1. Aach, T., Kaup, A.: Bayesian algorithms for adaptive change detection in image sequences using Markov Random fields. Signal Processing: Image Communication. 7 (1995) 147-160 2. Bruzzone, L., Fernández-Prieto, D.: Automatic Analysis of the difference Image for unsupervised change detection. IEEE Trans. Geoscience Remote Sensing. 38(3) (2000) 1171-1182. 3. Radke, R.J., Andra, S., Al-Kofahi, O., Roysam, B.: Image change detection algorithms: A Systematic Survey. Submitted to IEEE Trans. Image Processing, (available on-line http://www.ecse.rpi.edu/homepages/rjradke/pages/research.html, 2004 4. Toth, D., Aach, T., Metzler, V.: Bayesian Spatio-Temporal Motion detection under varying illumination. In: M. Gabbouj, P. Kuosmanen, (eds.): Proc. European Signal Processing Conference (EUSIPCO), Tampere, Finland, (2000) 2081-2084 5. Gonzalez, R.C. and Woods, E.R. 1993, Digital Image Processing. Addison-Wesley, Reading, MA (1993) 6. Kovesi, P.: MATLAB functions for Computer Vision and Image Analysis (available on-line http://www.csse.uwa.edu.au/~pk/Research/MatlabFns.tar.gz (2004) 7. Gómez-Moreno, H., Maldonado-Bascón, S., López-Ferreras, F. Martín.Martín, P. and Villafranca-Continente, J.M. 2000. Motion detection using support vector machines. In: Proc. International Conf. Signal Processing and Communications (available 0n-line)http://www2.uah.es/teose/webpersonal/Hilario/Personal/Pagina_files/Publications.html 8. Mallat, S.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. vol. 11(7)(1989) 674-693 9. Liu, S.C., Fu, C.W., Chang, S.: Statistical Change Detection with Moments under Time-Varying Illumination. IEEE Trans. Image Processing. 7(9) (1998) 1258-1268
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery878e090e-a59f-4f17-b5a2-7746bed14484

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