Recognition of Cotton Contaminants via X-Ray Microtomographic Image Analysis

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30 Scopus citations

Abstract

Technologies currently used for cotton contaminant assessment suffer from some fundamental limitations. These limitations result in the misassessment of the cotton quality, and have a serious impact on its economic value. Through our research, we have shown that X-ray microtomographic image analysis may be applied with a high degree of success to noninvasive evaluation of cotton for the recognition of contaminants. We believe that this procedure, when realized in real time, will have a serious impact on the cotton cleaning process, and indeed on the economic value of cotton.

Original languageEnglish
Pages (from-to)77-85
Number of pages9
JournalIEEE Transactions on Industry Applications
Volume40
Issue number1
DOIs
StatePublished - Jan 2004

Keywords

  • Cotton trash
  • Fuzzy classifier
  • Image analysis
  • Pattern classification
  • Volumetric data
  • X-ray tomography.

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