NDLI: Multiresolution moment filters

Content Provider	IEEE Xplore Digital Library
Author	Suhling, M. Arigovindan, M. Hunziker, P. Unser, M.
Copyright Year	2002
Description	Author affiliation: Swiss Fed. Inst. of Technol., Lausanne, Switzerland (Suhling, M.; Arigovindan, M.; Hunziker, P.; Unser, M.)
Abstract	We define multiscale moments that are estimated locally by analyzing an image through a sliding window at multiple scales. When the analysis window satisfies a two-scale relation, we prove that these moments can be computed very efficiently using a multiresolution wavelet-like algorithm. We also show that B-spline windows are best suited for this kind of analysis because, in addition to being refinable, they are positive, symmetric and very nearly isotropic. We present two applications of our method. The first is a feature extraction method for detecting strands of DNA in noisy cryoelectron-micrographs. The second is an extension of the Lucas-Kanade optical flow algorithm (see Lucas, B. and Kanade, T., Proc. DARPA IU Workshop, p.121-30, 1981) that assumes a local affine model of the motion field. The results obtained in both cases are very promising.
Sponsorship	IEEE Signal Process. Soc
File Size	294510
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1038043
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Spatial resolution Algorithm design and analysis Spline Image motion analysis DNA Optical noise Filters Biomedical imaging Biomedical computing Wavelet analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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