A nonseparable multiwavelet for edge detection

The performance of a balanced, nonseparable orthogonal multiwavelet for edge detection is analized. We present two alternative methods to meet this objective: in the first one the normed fine detail coefficients of the multiwavelet transform are thresholded, in the other, we adapt the modulus maxima...

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Detalles Bibliográficos
Autor principal: Ruedin, Ana María Clara
Publicado: 2003
Materias:
Edge
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Algorithms
Functions
Information analysis
Mathematical models
Wavelet transforms
Image processing
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v5207_n2_p700_Ruedin
http://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin
Aporte de:
Aportado por : Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires .
id paper:paper_0277786X_v5207_n2_p700_Ruedin
record_format dspace
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Edge
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Algorithms
Functions
Information analysis
Mathematical models
Wavelet transforms
Image processing
spellingShingle Edge
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Algorithms
Functions
Information analysis
Mathematical models
Wavelet transforms
Image processing
Ruedin, Ana María Clara
A nonseparable multiwavelet for edge detection
topic_facet Edge
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Algorithms
Functions
Information analysis
Mathematical models
Wavelet transforms
Image processing
description The performance of a balanced, nonseparable orthogonal multiwavelet for edge detection is analized. We present two alternative methods to meet this objective: in the first one the normed fine detail coefficients of the multiwavelet transform are thresholded, in the other, we adapt the modulus maxima algorithm to nonseparable multiwavelets. Results are highly satisfactory.
author Ruedin, Ana María Clara
author_facet Ruedin, Ana María Clara
author_sort Ruedin, Ana María Clara
title A nonseparable multiwavelet for edge detection
title_short A nonseparable multiwavelet for edge detection
title_full A nonseparable multiwavelet for edge detection
title_fullStr A nonseparable multiwavelet for edge detection
title_full_unstemmed A nonseparable multiwavelet for edge detection
title_sort nonseparable multiwavelet for edge detection
publishDate 2003
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v5207_n2_p700_Ruedin
http://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin
work_keys_str_mv AT ruedinanamariaclara anonseparablemultiwaveletforedgedetection
AT ruedinanamariaclara nonseparablemultiwaveletforedgedetection
bdutipo_str Repositorios
_version_ 1764820562106908673

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