Abstract

Convenient methods based on suitably designed finite-impulse-response (FIR) or infinite-impulse-response (IIR) filters were proposed recently for identifying edges in machine vision. We show that under normal image conditions (which are satisfied virtually always in practical indoor scenes) a FIR filter with powers-of-2 coefficients is able to provide results that are equivalent to those of an 8-bit FIR filter or a 16-bit HIR filter. This permits a significant simplification in the implementation design for edge detection. Results for common two-dimensional images processed with the simplified algorithm are presented, and a comparison is made with results obtained from so-called optimal nonapproximated operators.

© 1989 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Design of finite impulse response deconvolution filters

Richard Vollmerhausen
Appl. Opt. 49(30) 5814-5827 (2010)

Integrated optics implementation of finite impulse response filters

Emmanuel Anemogiannis and Richard P. Kenan
Appl. Opt. 29(24) 3497-3502 (1990)

References

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
Login to access OSA Member Subscription

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 OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files 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
Login to access OSA Member Subscription

Tables (3)

You do not have subscription access to this journal. Article tables 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
Login to access OSA Member Subscription

Equations (11)

You do not have subscription access to this journal. Equations 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
Login to access OSA Member Subscription

Metrics

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
Login to access OSA Member Subscription