Multiresolution Filtering and Segmentation of Multispectral Images

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAstronomical Data Analysis II
EditorsJean-Luc Starck, Fionn Murtagh
PublisherSPIE
Pages354-361
Number of pages8
Volume4847
ISBN (Print)0819446262, 9780819446268
DOIs
Publication statusPublished - 19 Dec 2002
Externally publishedYes
EventAstronomical Telescopes and Instrumentation - Waikoloa, United States
Duration: 22 Aug 200228 Aug 2002
Conference number: 2

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
PublisherSPIE
Volume4847
ISSN (Print)0277-786X

Conference

ConferenceAstronomical Telescopes and Instrumentation
CountryUnited States
CityWaikoloa
Period22/08/0228/08/02

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