@CONFERENCE\{IMM2013-06760,
    author       = "S. Sharifzadeh and J. L. Skytte and L. K. H. Clemmensen and B. K. Ersb{\o}ll",
    title        = "DCT-Based Characterization of Milk Products Using Diffuse Reflectance",
    year         = "2013",
    pages        = "W3C-6",
    booktitle    = "18th International Conference on Digital Signal Processing, {IEEE}",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6760-full.html",
    abstract     = "We propose to use the two-dimensional Discrete Cosine Transform (DCT) for decomposition of diffuse reflectance images of laser illumination on milk products in different wavelengths. Based on the prior knowledge about the characteristics of the images, the initial feature vectors are formed at each wavelength. The low order {DCT} coefficients are used to quantify the optical properties. In addition, the entropy information of the higher order {DCT} coefficients is used to include the illumination interference effects near the incident point. The discrimination powers of the features are computed and used to do wavelength and feature selection. Using the selected features of just one band, we could characterize and discriminate eight different milk products. Comparing this result with the current characterization method based of a fitted log-log linear model, shows that the proposed method can discriminate milk from yogurt products better.

{AB} - We propose to use the two-dimensional Discrete Cosine Transform (DCT) for decomposition of diffuse reflectance images of laser illumination on milk products in different wavelengths. Based on the prior knowledge about the characteristics of the images, the initial feature vectors are formed at each wavelength. The low order {DCT} coefficients are used to quantify the optical properties. In addition, the entropy information of the higher order {DCT} coefficients is used to include the illumination interference effects near the incident point. The discrimination powers of the features are computed and used to do wavelength and feature selection. Using the selected features of just one band, we could characterize and discriminate eight different milk products. Comparing this result with the current characterization method based of a fitted log-log linear model, shows that the proposed method can discriminate milk from yogurt products better."
}