Analysis of web defects by correlating 1-D Morlet and 2-D Mexican hat wavelet transforms

Jacques Lewalle, D. Steven Keller

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

The manufacturing processes for paper and similar non-woven fiber webs can affect end-use properties. In this paper, we document a new wavelet-based method of product diagnostic. The methods combines 1-dimensional Morlet and Isotropic 2-dimensional Mexican hat wavelets, with wavelet-based filtering and denoising techniques. Two samples produced in pilot machines by different forming methods are examined for variations in their mass per unit area - the grammage. The grammage maps are decomposed into three layers: one associated with the nearly-periodic grammage streaks at large scale, one associated with flocs or related medium-size structures, and the background which combines pixel-size fluctuations and large-scale stochastic modulations. By correlating the structure and background fluctuations with the streaks local phase, we show that one sample exhibits formation streaks (statistical variations in properties other than mean grammage), which are not found in the other.

Original languageEnglish (US)
Article number600109
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6001
DOIs
StatePublished - Dec 1 2005
EventWavelet Applications in Industrial Processing III - Boston, MA, United States
Duration: Oct 24 2005Oct 24 2005

Keywords

  • Denoising
  • Flocs
  • Paper formation
  • Wavelet

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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