Image analysis – Pattern recognition – Feature extraction
Patent
1999-11-03
2000-10-24
Rogers, Scott
Image analysis
Pattern recognition
Feature extraction
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.
Kunii Tosiyasu Laurence
Shinagawa Yoshihisa
Monolith Co. Ltd.
Rogers Scott
LandOfFree
Multiresolutional critical point filter and image matching using does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Multiresolutional critical point filter and image matching using, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Multiresolutional critical point filter and image matching using will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1973187