Pattern recognition for optical PSI images of surface topography using wavelets

Xiangqian Jiang; Shaojun Xiao; Liam Blunt

doi:10.1117/12.483206

16 September 2002 Pattern recognition for optical PSI images of surface topography using wavelets

Xiangqian Jiang, Shaojun Xiao, Liam Blunt

Proceedings Volume 4929, Optical Information Processing Technology; (2002) https://doi.org/10.1117/12.483206
Event: Photonics Asia, 2002, Shanghai, China

Abstract

This paper proposes a novel philosophical approach using Wavelet and Radon Transform for addressing topographical features of surface from a PSI image. In this work, a combined technique using the Wavelet and Radon Transforms has been investigated and developed to achieve the forensic dissection of PSI image data. As a result, the isolated point-like features on a PSI image can be extracted using the wavelet transform with artifact free thresholding method, and the curve-like features on a PSI image can be identified using the Ridgelet Transform (Multi-Wavelet-Radon transform). Case studies are conducted using a series of femoral heads to demonstrate the application of using the new wavelet model in the assessment PSI images of these surfaces.

Citation Download Citation

Xiangqian Jiang, Shaojun Xiao, and Liam Blunt "Pattern recognition for optical PSI images of surface topography using wavelets", Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); https://doi.org/10.1117/12.483206

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