Optical real-time fractal sensor for industrial texture analysis

Wayne S. Hill; Michael Snowbell

doi:10.1117/12.198684

4 January 1995 Optical real-time fractal sensor for industrial texture analysis

Wayne S. Hill, Michael Snowbell

Proceedings Volume 2349, Industrial Optical Sensors for Metrology and Inspection; (1995) https://doi.org/10.1117/12.198684
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

An optical fractal image analysis system is being developed to permit the analysis of image texture in real time. This system could find application in real-time monitoring and control for high value processing, such as in the chemical process industry and medical laboratories, or where a quantitative measure of image texture is useful. This paper expands on previous presentations by discussing issues of optical versus digital implementation, the alternative interpretations of grayness, and the advantages of neural networks for the final analysis.

Citation Download Citation

Wayne S. Hill and Michael Snowbell "Optical real-time fractal sensor for industrial texture analysis", Proc. SPIE 2349, Industrial Optical Sensors for Metrology and Inspection, (4 January 1995); https://doi.org/10.1117/12.198684

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