@inproceedings{c842e3bb29324142b1d22c4ba876930a,
title = "Pattern Recognition for Optical PSI Images of Surface Topography Using Wavelets",
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.",
keywords = "Optical PSI images of surface topography, Radom transform, Ridgelet transform, Thresholding, Wavelet transform",
author = "Xiangqian Jiang and Shaojun Xiao and Liam Blunt",
year = "2002",
month = sep,
day = "16",
doi = "10.1117/12.483206",
language = "English",
volume = "4929",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
pages = "149--157",
editor = "Guoguang Mu and Yu, {Francis T. S.} and Suganda Jutamulia",
booktitle = "Optical Information Processing Technology",
address = "United States",
note = "Photonics Asia ; Conference date: 14-10-2002 Through 18-10-2002",
}