Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Synchronous detection method for obtaining directional gradients of images

Not Accessible

Your library or personal account may give you access

Abstract

We propose an optical-scanning-based imaging system, useful for directly acquiring the directional gradient and/or the Laplacian of an image. Such operations are crucial in edge detection, edge enhancement, and feature extraction. Digital edge-detection techniques tend to be computationally intensive as well as noise sensitive, as these derivative-based operators essentially constitute high-pass filters. Since we employ synchronous temporal detection to detect gradients in a direct fashion, noise suppression is greatly enhanced. Proof-of-principle results demonstrate the feasibility of our technique.

© 1992 Optical Society of America

Full Article  |  PDF Article
More Like This
Edge detection based on gradient ghost imaging

Xue-Feng Liu, Xu-Ri Yao, Ruo-Ming Lan, Chao Wang, and Guang-Jie Zhai
Opt. Express 23(26) 33802-33811 (2015)

Single-photon detection and imaging with a 10-Hz repetitively pulsed ultrasensitive coherent amplifier

Rolf W. F Gross, Lissa Garman-DuVall, and Sherwin T. Amimoto
Opt. Lett. 17(1) 82-84 (1992)

New method for designing the stigmatically imaging gradient-index lenses of spherical symmetry

J. Sochacki, J. R. Flores, and C. Gómez-Reino
Appl. Opt. 31(25) 5178-5183 (1992)

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 (4)

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

Equations (9)

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

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.