Rotation-invariant pattern recognition using optimum feature extraction
Applied Optics, Vol. 24, Issue 2, pp. 179-184 (1985)
http://dx.doi.org/10.1364/AO.24.000179
Acrobat PDF (935 KB)
Abstract
In this paper we consider the problem of detecting a target regardless of its orientation when it is known that the target must be from one of two classes. We assume significant random intraclass variability, a complication which requires techniques from statistical pattern recognition for amelioration. The Foley-Sammon transformation for selecting optimum features from random training samples is used to solve the problem.
© 1985 Optical Society of America
Citation
Ronald Wu and Henry Stark, "Rotation-invariant pattern recognition using optimum feature extraction," Appl. Opt. 24, 179-184 (1985)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-24-2-179
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
« Previous Article | Next Article »
OSA is a member of 