@CONFERENCE\{IMM2013-06777,
    author       = "S. Sharifzadeh and L. Clemmensen and H. L{\o}je and B. K. Ersb{\o}ll",
    title        = "Statistical Quality Assessment of Pre-fried Carrots Using Multispectral Imaging",
    year         = "2013",
    keywords     = "Multispectral imaging, Multiple hypothesis testing, Segmentation, Food quality assessment, {SVM} classification, Elastic-net regression",
    pages        = "620-629",
    booktitle    = "18th Scandinavian Conference on Image Analysis ({SCIA} 2013)",
    volume       = "7944",
    series       = "Lecture Notes in Computer Science",
    editor       = "",
    publisher    = "Springer Verlag",
    organization = "",
    address      = "",
    url          = "http://hatutus.org/scia2013/",
    abstract     = "Multispectral imaging is increasingly being used for quality assessment of food items due to its non-invasive benefits. In this paper, we investigate the use of multispectral images of pre-fried carrots, to detect changes over a period of 14 days. The idea is to distinguish changes in quality from spectral images of visible and {NIR} bands. High dimensional feature vectors were formed from all possible ratios of spectral bands in 9 different percentiles per piece of carrot. We propose to use a multiple hypothesis testing technique based on the Benjamini-Hachberg (BH) method to distinguish possible significant changes in features during the inspection days. Discrimination by the {SVM} classifier supported these results. Additionally, {2-}sided t-tests on the predictions of the elastic-net regressions were carried out to compare our results with previous studies on fried carrots. The experimental results showed that the most significant changes occured in day 2 and day 14.",
    isbn_issn    = "{ISBN} 978-3-642-38885-9"
}