Multiresolutional critical point filter and image matching using

Image analysis – Pattern recognition – Feature extraction

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382205, 382260, 382299, 382209, G06K 946, G06K 956, G06T 340

Patent

active

061379107

ABSTRACT:
A multiresolutional filter called a critical point filter is introduced. This filter extracts a maximum, a minimum, and two types of saddle points of pixel intensity for every 2.times.2 (horizontal.times.vertical) pixels so that an image of a lower level of resolution is newly generated for every type of a critical point. Using this multiresolutional filter, a source image and a destination image are hierarchized, and source hierarchical images and destination hierarchical images are matched using image characteristics recognized through a filtering operation.

REFERENCES:
patent: 5347594 (1994-09-01), Grimand
patent: 5842194 (1998-11-01), Arbuckle
patent: 6018592 (2000-01-01), Shinagawa et al.
Michael Kass, et al., Snakes: Active Contour Models, International Journal of Computer Vision, 321-331 (1998).
J. Andrew Bangham, et al., Scale-Space from Nonlinear Filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, No. 5, May 1996.

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