Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/7665
Share/Impact:
Título : New contributions to the multidimensional analysis of signals and images through the pseudo-Wigner Distribution
Otros títulos: Nuevas contribuciones en el análisis multidimensional de señales e imágenes mediante la pseudo-distribución de Wigner
Autor : Gabarda Tébar, Salvador
Director: Cristóbal Pérez, Gabriel
Palabras clave : Wigner Distribution
Image analysis
Fecha de publicación : 13-May-2008
Resumen: The subject of this thesis is to develop new applications in signal processing based on the multidimensional analysis that can be achieved by means of the Wigner distribution (WD). The kind of signals that have been mainly handled are the signals used in computer vision, as images, or image sequences, without excluding other kind of signals as time series. Typically, the WD requires a great amount of calculations. To simplify these calculations, a new set of algorithms for 1-D and 2-D signals is introduced in this thesis. The performance of this methodology relays in the use of a directional 1-D discrete version of the WD, along with a small data window, instead of a full 2-D implementation. This technique, added to the continuously increasing speed of the new processors, approximates the use of the WD to a real-time tool for digital image processing. Comparative measurements are also presented that show how the results obtainable through this analysis, based on a determined and discrete version of the WD, are similar and sometimes better than other classical methods. Additionally, the multi-directional analysis introduced in this thesis makes possible the evaluation of the anisotropic nature of the images. This anisotropic evaluation has been used to develop an application for isotrigon textures discrimination and to derive an objective anisotropic measure for image quality assessment. Finally, the methods for image processing developed in this thesis have been extended successfully to other frames as biomedical signals.
Descripción : Tesis doctoral de la Facultad de Ciencias (Departamento de Física Matemática y de Fluidos) de la Universidad Nacional de Educación a Distancia (UNED) y del Instituto de Óptica "Daza de Valdés" del Consejo Superior de Investigaciones Científicas (IO-CSIC).-- 166 págs.
URI : http://hdl.handle.net/10261/7665
Appears in Collections:(CFMAC-IO) Tesis

Files in This Item:
File Description SizeFormat 
Tesis_S_Gabarda.pdf14,08 MBAdobe PDFView/Open
Show full item record
 
CSIC SFX LinksSFX Query

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.