Multiresolution Filtering and Segmentation of Multispectral Images

F. Murtagh; C. Collet; M. Louys; J. L. Starck

doi:10.1117/12.461125

Multiresolution Filtering and Segmentation of Multispectral Images

F. Murtagh, C. Collet, M. Louys, J. L. Starck

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Loève transform. For segmentation, we use a quadtree followed by the fitting of a Markov model. We illustrate these methods on Hubble Space Telescope near infrared NICMOS camera images.

Original language	English
Title of host publication	Astronomical Data Analysis II
Editors	Jean-Luc Starck, Fionn Murtagh
Publisher	SPIE
Pages	354-361
Number of pages	8
Volume	4847
ISBN (Print)	0819446262, 9780819446268
DOIs	https://doi.org/10.1117/12.461125
Publication status	Published - 19 Dec 2002
Externally published	Yes
Event	Astronomical Telescopes and Instrumentation - Waikoloa, United States Duration: 22 Aug 2002 → 28 Aug 2002 Conference number: 2

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Volume	4847
ISSN (Print)	0277-786X

Conference

Conference	Astronomical Telescopes and Instrumentation
Country/Territory	United States
City	Waikoloa
Period	22/08/02 → 28/08/02

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10.1117/12.461125Licence: Unspecified

Cite this

@inproceedings{3be431047e724b79b2704be486dadc02,

title = "Multiresolution Filtering and Segmentation of Multispectral Images",

abstract = "We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Lo{\`e}ve transform. For segmentation, we use a quadtree followed by the fitting of a Markov model. We illustrate these methods on Hubble Space Telescope near infrared NICMOS camera images.",

keywords = "Filtering, Markov model, Multiband image, Noise model, Segmentation, Wavelet transform, Image segmentation, Wavelet transforms, Image filtering, Astronomy, Multispectral imaging, Optical filters, Wavelets, Data modeling, Expectation maximization algorithms, Image resolution",

author = "F. Murtagh and C. Collet and M. Louys and Starck, \{J. L.\}",

year = "2002",

month = dec,

day = "19",

doi = "10.1117/12.461125",

language = "English",

isbn = "0819446262",

volume = "4847",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

pages = "354--361",

editor = "Jean-Luc Starck and Fionn Murtagh",

booktitle = "Astronomical Data Analysis II",

address = "United States",

note = "Astronomical Telescopes and Instrumentation ; Conference date: 22-08-2002 Through 28-08-2002",

}

Murtagh, F, Collet, C, Louys, M & Starck, JL 2002, Multiresolution Filtering and Segmentation of Multispectral Images. in J-L Starck & F Murtagh (eds), Astronomical Data Analysis II. vol. 4847, Proceedings of SPIE - The International Society for Optical Engineering, vol. 4847, SPIE, pp. 354-361, Astronomical Telescopes and Instrumentation, Waikoloa, Hawaii, United States, 22/08/02. https://doi.org/10.1117/12.461125

Multiresolution Filtering and Segmentation of Multispectral Images. / Murtagh, F.; Collet, C.; Louys, M. et al.
Astronomical Data Analysis II. ed. / Jean-Luc Starck; Fionn Murtagh. Vol. 4847 SPIE, 2002. p. 354-361 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 4847).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multiresolution Filtering and Segmentation of Multispectral Images

AU - Murtagh, F.

AU - Collet, C.

AU - Louys, M.

AU - Starck, J. L.

N1 - Conference code: 2

PY - 2002/12/19

Y1 - 2002/12/19

N2 - We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Loève transform. For segmentation, we use a quadtree followed by the fitting of a Markov model. We illustrate these methods on Hubble Space Telescope near infrared NICMOS camera images.

AB - We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Loève transform. For segmentation, we use a quadtree followed by the fitting of a Markov model. We illustrate these methods on Hubble Space Telescope near infrared NICMOS camera images.

KW - Filtering

KW - Markov model

KW - Multiband image

KW - Noise model

KW - Segmentation

KW - Wavelet transform

KW - Image segmentation

KW - Wavelet transforms

KW - Image filtering

KW - Astronomy

KW - Multispectral imaging

KW - Optical filters

KW - Wavelets

KW - Data modeling

KW - Expectation maximization algorithms

KW - Image resolution

UR - https://www.scopus.com/pages/publications/0038640200

U2 - 10.1117/12.461125

DO - 10.1117/12.461125

M3 - Conference contribution

AN - SCOPUS:0038640200

SN - 0819446262

SN - 9780819446268

VL - 4847

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 354

EP - 361

BT - Astronomical Data Analysis II

A2 - Starck, Jean-Luc

A2 - Murtagh, Fionn

PB - SPIE

T2 - Astronomical Telescopes and Instrumentation

Y2 - 22 August 2002 through 28 August 2002

ER -

Multiresolution Filtering and Segmentation of Multispectral Images

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