Multiresolution Filtering and Segmentation of Multispectral Images

Details Multiresolution Filtering and Segmentation of Multispectral Images Multiresolution Filtering and Segmentation of Multispectral Images

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002spie.4847..354m&link_type=abstract

Astronomical Data Analysis II. Edited by Starck, Jean-Luc; Murtagh, Fionn D. Proceedings of the SPIE, Volume 4847, pp. 354-3

Astronomy and Astrophysics

Astronomy

Scientific paper

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.

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