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Reconocimiento de patrones usando la desigualdad de Cauchy-Schwarz

Authors: Asensio García, José Bartolomé;

Reconocimiento de patrones usando la desigualdad de Cauchy-Schwarz

Abstract

Este interés por el estudio de problemas de mayor complejidad ha ido paralelo al desarrollo de nuevas generaciones de ordenadores que a precio asequible permiten la experimentación con imágenes cada vez más complejas en su interpretación . Vemos pues el creciente auge de las técnicas de procesamiento digital de imágenes y su notable importancia en el mundo que nos rodea. A lo largo de este proyecto nosotros vamos a desarrollar un estudio sobre un campo concreto como es el del reconocimiento de patrones. El abordaje que utilizamos está asociado a la desigualdad matemática de Cauchy-Schwarz.Vamos a abordar el estudio centrándonos primero en el caso unidimensional que aplicaremos a la búsqueda de patrones en señales de audio, y posteriormente haremos un estudio similar con imágenes digitales que corresponde al caso dos dimensional.En el caso dos dimensional usaremos cualquier tipo de imagen a color o en tonalidades de grises como escenario de nuestros experimentos. Nuestro objetivo es encontrar un patrón (template) dentro de la imagen original. Para ello utilizaremos el filtro basado en la citada desigualdad de Cauchy-Schwarz. Nuestro interés es testar la robusted del algoritmo frente a ciertas transformaciones de la imagen original. En particular le aplicaremos ruido de varios tipos, rotaremos la imagen, la someteremos a un proceso de ecualización o de compresión para ver los efectos que ello conlleva en los resultados de la búsqueda y así realizar un estudio sobre hasta que punto el algoritmo testado es ciertamente fiable.

Escuela Técnica Superior de Ingeniería de Telecomunicación

Country
Spain
Related Organizations
Keywords

Imagen digital, Matemática Aplicada, Señal de audio, Digital Imaging, Cauchy-Schwarz, 2D, Audio signal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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