Radon Transform Applications In Optical Inspection

Michael J. Simpson; P. Anthony Ervin; Michael A. Snyder

doi:10.1117/12.7976662

1 February 1988 Radon Transform Applications In Optical Inspection

Michael J. Simpson, P. Anthony Ervin, Michael A. Snyder

Author Affiliations +

Optical Engineering, Vol. 27, Issue 2, 272164 (February 1988). https://doi.org/10.1117/12.7976662

Abstract

The Radon transform is applied to optical inspection of a piece part on a dark background. It is demonstrated that the Radon transform of a "test" object in an arbitrary location and orientation can be restored to the same form as the transform of a similar "reference" object. This can be used to measure the amount of translation and rotation of the object or to introduce rotation and translation invariance properties to calculations performed on transform data. Various image features can be calculated utilizing threshold levels and designated centers to maximize detection capabilities for specific applications. In addition it is shown that it is possible to reconstruct a small region of the image without reconstructing the entire image. This can save time when only a small area is of interest. These techniques for processing Radon transform data are presented in a general manner so that they can be easily applied to fields other than inspection.

Citation Download Citation

Michael J. Simpson, P. Anthony Ervin, and Michael A. Snyder "Radon Transform Applications In Optical Inspection," Optical Engineering 27(2), 272164 (1 February 1988). https://doi.org/10.1117/12.7976662

Published: 1 February 1988

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available