@MISC\{IMM2012-06239,
    author       = "E. S. Lynge",
    title        = "Pharmaceutical Tablet Inspection",
    year         = "2012",
    publisher    = "Technical University of Denmark, {DTU} Informatics, {E-}mail: reception@imm.dtu.dk",
    address      = "Asmussens Alle, Building 305, {DK-}2800 Kgs. Lyngby, Denmark",
    note         = "Supervised by Associate Professor Jens Michael Carstensen, jmc@imm.dtu.dk, {DTU} Informatics",
    url          = "http://www.imm.dtu.dk/English.aspx",
    abstract     = "The goal of this thesis is to investigate, how an industrial machine vision solution can be improved using spectral analysis - especially the {UV} spectrum. It is a case study taken from Glostrup Dosispak, but the findings can be generalized as they are independent of the existing image processing implementation. The results thus only reflects the explanatory power of the tablets spectral response. A method is proposed for classifying that involves a variation of {SVM,} a voting system and histograms for evaluating observed to expected responses."
}