Pattern recognition for optical PSI images of surface topography using wavelets

Research output: Contribution to journalConference article

1 Citation (Scopus)

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.

Original languageEnglish
Pages (from-to)149-157
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4929
DOIs
Publication statusPublished - 16 Sep 2002
EventOptical Information Processing Technology 2002 - Shanghai, China
Duration: 14 Oct 200218 Oct 2002

Fingerprint

Surface Topography
Radon
Surface topography
pattern recognition
Pattern Recognition
Pattern recognition
topography
Wavelets
Wavelet Transform
Mathematical transformations
Radon Transform
radon
wavelet analysis
Dissection
Wavelet transforms
Ridgelets
dissection
Multiwavelet
Thresholding
artifacts

Cite this

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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.",
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Pattern recognition for optical PSI images of surface topography using wavelets. / Jiang, Xiangqian; Xiao, Shaojun; Blunt, Liam.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 4929, 16.09.2002, p. 149-157.

Research output: Contribution to journalConference article

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