Abstract
A shift-, rotation-, and scale-invariant pattern recognition method is proposed. In this method, an object image is observed by a movable sensing head, and then simple features, which are invariant under shift, rotation, and change of scale of the object image, are extracted by digital image processing. At the same time, the Fourier spectrum of the edge-enhanced object image is obtained by coherent optical image processing, and the shift-, rotation-, and scale-invariant features are derived from the spectrum. Classification of the object is carried out by a small-scale digital processor using both features obtained by digital and analog image processing.
© 1986 Optical Society of America
Full Article |
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Figures (8)
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Tables (2)
You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Equations (4)
You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription