Metrological Characteristics of Dual-Tree Complex Wavelet Transform for Surface Analysis

W. Zeng, X. Jiang, P. Scott

Research output: Contribution to journalArticle

25 Citations (Scopus)

Abstract

The metrological characteristics of a newly developed dual-tree complex wavelet transform (DT-CWT) for surface analysis are investigated, especially on the aspect of transmission characteristics analysis. The property of zero/linear phase by the DT-CWT ensures filtering results with no distortion and good ability for feature localization. Due to the 'steep transmission curve' property of the amplitude transmission characteristic, the DT-CWT can separate different frequency components efficiently. Both computer simulation and experimental results of practical surface 2D/3D filtering prove that the DT-CWT filter is very suitable for the separation and extraction of frequency components such as surface roughness, waviness and form.

LanguageEnglish
Pages1410-1417
Number of pages8
JournalMeasurement Science and Technology
Volume16
Issue number7
DOIs
Publication statusPublished - 27 May 2005

Fingerprint

Surface analysis
wavelet analysis
Wavelet transforms
Wavelet Transform
Filtering
Surface Roughness
surface roughness
Computer Simulation
computerized simulation
Surface roughness
Filter
filters
Curve
Computer simulation
Zero
Experimental Results
curves

Cite this

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abstract = "The metrological characteristics of a newly developed dual-tree complex wavelet transform (DT-CWT) for surface analysis are investigated, especially on the aspect of transmission characteristics analysis. The property of zero/linear phase by the DT-CWT ensures filtering results with no distortion and good ability for feature localization. Due to the 'steep transmission curve' property of the amplitude transmission characteristic, the DT-CWT can separate different frequency components efficiently. Both computer simulation and experimental results of practical surface 2D/3D filtering prove that the DT-CWT filter is very suitable for the separation and extraction of frequency components such as surface roughness, waviness and form.",
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Metrological Characteristics of Dual-Tree Complex Wavelet Transform for Surface Analysis. / Zeng, W.; Jiang, X.; Scott, P.

In: Measurement Science and Technology, Vol. 16, No. 7, 27.05.2005, p. 1410-1417.

Research output: Contribution to journalArticle

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AU - Scott, P.

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AB - The metrological characteristics of a newly developed dual-tree complex wavelet transform (DT-CWT) for surface analysis are investigated, especially on the aspect of transmission characteristics analysis. The property of zero/linear phase by the DT-CWT ensures filtering results with no distortion and good ability for feature localization. Due to the 'steep transmission curve' property of the amplitude transmission characteristic, the DT-CWT can separate different frequency components efficiently. Both computer simulation and experimental results of practical surface 2D/3D filtering prove that the DT-CWT filter is very suitable for the separation and extraction of frequency components such as surface roughness, waviness and form.

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