An Image Processing and Analysis Systems for Automatic Classification of Cigarette Filter Blockage

J. P. Stitt, R. J. O'Connor, L. T. Kozlowski

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

Most filter cigarettes today employ ventilated filters. Heavily ventilated filters have been found to be "elastic" in that they contribute to lower tar numbers in standard smoking-machine tests while at the same time allowing smokers to get much higher doses of tar from the same cigarette when they block vents with fingers or lips. This paper describes a method for automating a Stain Pattern technique which permits unobtrusive measurement of behavioral vent blocking. This automation could provide a more accurate analysis of filter efficacy. The system employs image processing and analysis to generate a set of unbiased features which are subsequently categorized by a fuzzy set based classifier.

Original languageEnglish (US)
Pages (from-to)926-929
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume1
StatePublished - 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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