Enhanced morphological filtering for wavelet-based changepoint detection

Mattia Stasolla; Xavier Neyt

doi:10.1109/SITIS.2019.00021

Enhanced morphological filtering for wavelet-based changepoint detection

Remote Sensing

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

2 Citaten (Scopus)

Samenvatting

This paper presents a new method for the detection of abrupt changes (i.e. mean shifts) in time series. It is a follow-up to a previous article by the authors where, for the first time, the possibility of combining the multi-scale analysis capabilities of wavelets with mathematical morphology, a theoretical framework for the analysis of spatial structures, had been explored. The processing chain has been revised and enhanced in order to improve the overall results, and a performance assessment has been carried out to evaluate the accuracy and robustness of the method to noise, also providing a comparison with its original implementation.

Originele taal-2	Engels
Titel	Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019
Redacteuren	Kokou Yetongnon, Albert Dipanda, Gabriella Sanniti di Baja, Luigi Gallo, Richard Chbeir
Uitgeverij	Institute of Electrical and Electronics Engineers Inc.
Pagina's	56-60
Aantal pagina's	5
ISBN van elektronische versie	9781728156866
DOI's	https://doi.org/10.1109/SITIS.2019.00021
Status	Gepubliceerd - nov. 2019
Evenement	15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019 - Sorrento, Italië Duur: 26 nov. 2019 → 29 nov. 2019

Publicatie series

Naam	Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019

Congres

Congres	15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019
Land/Regio	Italië
Stad	Sorrento
Periode	26/11/19 → 29/11/19

Toegang tot document

10.1109/SITIS.2019.00021

Andere bestanden en links

Link naar publicatie in Scopus

EORegions-Science: EORegions-Science
Neyt, X. (Promotor) & Stasolla, M. (Onderzoeker)
1/11/16 → 31/08/18
Project: Onderzoek

Citeer dit

Stasolla, M., & Neyt, X. (2019). Enhanced morphological filtering for wavelet-based changepoint detection. In K. Yetongnon, A. Dipanda, G. Sanniti di Baja, L. Gallo, & R. Chbeir (editors), Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019 (blz. 56-60). Artikel 9067954 (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SITIS.2019.00021

Stasolla, Mattia ; Neyt, Xavier. / Enhanced morphological filtering for wavelet-based changepoint detection. Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019. redacteur / Kokou Yetongnon ; Albert Dipanda ; Gabriella Sanniti di Baja ; Luigi Gallo ; Richard Chbeir. Institute of Electrical and Electronics Engineers Inc., 2019. blz. 56-60 (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019).

@inproceedings{440cdb8a98564e4095fad2b87a8fe21f,

title = "Enhanced morphological filtering for wavelet-based changepoint detection",

abstract = "This paper presents a new method for the detection of abrupt changes (i.e. mean shifts) in time series. It is a follow-up to a previous article by the authors where, for the first time, the possibility of combining the multi-scale analysis capabilities of wavelets with mathematical morphology, a theoretical framework for the analysis of spatial structures, had been explored. The processing chain has been revised and enhanced in order to improve the overall results, and a performance assessment has been carried out to evaluate the accuracy and robustness of the method to noise, also providing a comparison with its original implementation.",

keywords = "Changepoint detection, Mathematical morphology, Time series, Wavelets",

author = "Mattia Stasolla and Xavier Neyt",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019 ; Conference date: 26-11-2019 Through 29-11-2019",

year = "2019",

month = nov,

doi = "10.1109/SITIS.2019.00021",

language = "English",

series = "Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "56--60",

editor = "Kokou Yetongnon and Albert Dipanda and \{Sanniti di Baja\}, Gabriella and Luigi Gallo and Richard Chbeir",

booktitle = "Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019",

}

Stasolla, M & Neyt, X 2019, Enhanced morphological filtering for wavelet-based changepoint detection. in K Yetongnon, A Dipanda, G Sanniti di Baja, L Gallo & R Chbeir (reds.), Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019., 9067954, Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019, Institute of Electrical and Electronics Engineers Inc., blz. 56-60, 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019, Sorrento, Italië, 26/11/19. https://doi.org/10.1109/SITIS.2019.00021

Enhanced morphological filtering for wavelet-based changepoint detection. / Stasolla, Mattia ; Neyt, Xavier.
Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019. reds. / Kokou Yetongnon; Albert Dipanda; Gabriella Sanniti di Baja; Luigi Gallo; Richard Chbeir. Institute of Electrical and Electronics Engineers Inc., 2019. blz. 56-60 9067954 (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › peer review

TY - GEN

T1 - Enhanced morphological filtering for wavelet-based changepoint detection

AU - Stasolla, Mattia

AU - Neyt, Xavier

PY - 2019/11

Y1 - 2019/11

N2 - This paper presents a new method for the detection of abrupt changes (i.e. mean shifts) in time series. It is a follow-up to a previous article by the authors where, for the first time, the possibility of combining the multi-scale analysis capabilities of wavelets with mathematical morphology, a theoretical framework for the analysis of spatial structures, had been explored. The processing chain has been revised and enhanced in order to improve the overall results, and a performance assessment has been carried out to evaluate the accuracy and robustness of the method to noise, also providing a comparison with its original implementation.

AB - This paper presents a new method for the detection of abrupt changes (i.e. mean shifts) in time series. It is a follow-up to a previous article by the authors where, for the first time, the possibility of combining the multi-scale analysis capabilities of wavelets with mathematical morphology, a theoretical framework for the analysis of spatial structures, had been explored. The processing chain has been revised and enhanced in order to improve the overall results, and a performance assessment has been carried out to evaluate the accuracy and robustness of the method to noise, also providing a comparison with its original implementation.

KW - Changepoint detection

KW - Mathematical morphology

KW - Time series

KW - Wavelets

UR - https://www.scopus.com/pages/publications/85084838920

U2 - 10.1109/SITIS.2019.00021

DO - 10.1109/SITIS.2019.00021

M3 - Conference contribution

AN - SCOPUS:85084838920

T3 - Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019

SP - 56

EP - 60

BT - Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019

A2 - Yetongnon, Kokou

A2 - Dipanda, Albert

A2 - Sanniti di Baja, Gabriella

A2 - Gallo, Luigi

A2 - Chbeir, Richard

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019

Y2 - 26 November 2019 through 29 November 2019

ER -

Stasolla M , Neyt X. Enhanced morphological filtering for wavelet-based changepoint detection. In Yetongnon K, Dipanda A, Sanniti di Baja G, Gallo L, Chbeir R, redacteurs, Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. blz. 56-60. 9067954. (Proceedings - 15th International Conference on Signal Image Technology and Internet Based Systems, SISITS 2019). doi: 10.1109/SITIS.2019.00021

Enhanced morphological filtering for wavelet-based changepoint detection

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