Real-time measurement of surface roughness based on dynamic speckles

Lily Zhou; Xuezeng Zhao

doi:10.1117/12.573754

10 February 2005 Real-time measurement of surface roughness based on dynamic speckles

Lily Zhou, Xuezeng Zhao

Proceedings Volume 5638, Optical Design and Testing II; (2005) https://doi.org/10.1117/12.573754
Event: Photonics Asia, 2004, Beijing, China

Abstract

Dynamic speckles are produced when a diffuse object moving along x-axis with constant velocity is illuminated by coherent light. The diffuse object is considered as a weak random phase screen, statistical properties of dynamic speckles in the Fresnel diffraction field are given in this paper. It is shown that the statistical properties of dynamic speckles depend on the optical condition, surface roughness, and moving velocity of the diffuse object. The parameters describing the property of dynamic speckles extracted from the speckle image, such as fractal dimension, speckle contrast, gray feature of speckle image, binary feature and speckle size. Then according to these features parameters, the recognizing system is established based on neural network technique. Four metallic flat-grinding samples, moving with velocity 4mm/s and 16mm/s respectively, are measured the roughness using this experiment set-up and recognizing system. It’s shown that the average roughness data Ra obtained using the new technique and the Ra obtained using Talysurf are in good agreement. The experimental set-up of this method is simple, fast, and not sensitive to change of circumstance and vibration. Hence, it has great potential for application to real-time measurement.

Citation Download Citation

Lily Zhou and Xuezeng Zhao "Real-time measurement of surface roughness based on dynamic speckles", Proc. SPIE 5638, Optical Design and Testing II, (10 February 2005); https://doi.org/10.1117/12.573754

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