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, A.M.C.
Formato: CONF
Materias:
Edge
Modulus maxima
Multiwavelet
Nonseparable
Quincunx
Algorithms
Functions
Information analysis
Mathematical models
Wavelet transforms
Image processing
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_0277786X_v5207_n2_p700_Ruedin
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spelling todo:paper_0277786X_v5207_n2_p700_Ruedin2023-10-03T15:16:25Z A nonseparable multiwavelet for edge detection Ruedin, A.M.C. Edge Modulus maxima Multiwavelet Nonseparable Quincunx Modulus maxima Multiwavelet Nonseparable Quincunx Algorithms Functions Information analysis Mathematical models Wavelet transforms Image processing 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. Fil:Ruedin, A.M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin
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, A.M.C.
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.
format CONF
author Ruedin, A.M.C.
author_facet Ruedin, A.M.C.
author_sort Ruedin, A.M.C.
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
url http://hdl.handle.net/20.500.12110/paper_0277786X_v5207_n2_p700_Ruedin
work_keys_str_mv AT ruedinamc anonseparablemultiwaveletforedgedetection
AT ruedinamc nonseparablemultiwaveletforedgedetection
_version_ 1782027087082684416

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