Rough Surfaces Classification Using Fourier Transform

C. Gorecki

doi:10.1117/12.947599

16 January 1989 Rough Surfaces Classification Using Fourier Transform

C. Gorecki

Proceedings Volume 0954, Optical Testing and Metrology II; (1989) https://doi.org/10.1117/12.947599
Event: SPIE International Symposium on Optical Engineering and Industrial Sensing for Advance Manufacturing Technologies, 1988, Dearborn, MI, United States

Abstract

An optical/digital approach to the classification of rough surfaces is described. The setup consists of a coherent optical system to generate the Fourier irradiance of a rough sample and a digital computer to process data. The sampling of Fourier spectra is achieved with a wedge ring detector. The extraction and measurement of specific statistical parameters of Fourier spectrum are done for two typical mached samples. An analysis of the efficiency of these parameters in roughness classification is also carried out.

Citation Download Citation

C. Gorecki "Rough Surfaces Classification Using Fourier Transform", Proc. SPIE 0954, Optical Testing and Metrology II, (16 January 1989); https://doi.org/10.1117/12.947599

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