Multiresolution filtering and segmentation of multispectral images

Fionn D. Murtagh; Christophe Collet; Mireille Louys; Jean-Luc Starck

doi:10.1117/12.461125

19 December 2002 Multiresolution Filtering and Segmentation of Multispectral Images

Fionn D. Murtagh, Christophe Collet, Mireille Louys, Jean-Luc Starck

Proceedings Volume 4847, Astronomical Data Analysis II; (2002) https://doi.org/10.1117/12.461125
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

Abstract

We consider multiple resolution methods for filtering and segmenting multispectral astronomical images. For filtering, we use noise modeling, wavelet transform, and the Karhunen-Loeve 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.

Citation Download Citation

Fionn D. Murtagh, Christophe Collet, Mireille Louys, and Jean-Luc Starck "Multiresolution Filtering and Segmentation of Multispectral Images", Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); https://doi.org/10.1117/12.461125

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