@TECHREPORT\{IMM2003-02390,
    author       = "G. Maletti and B. Ersb{\o}ll",
    title        = "Texture alteration detection in bitemporal images of lesions with psoriasis",
    year         = "2003",
    keywords     = "co-occurrence matrix, M.A.D. Transform, Multivariate Alteration Detection, texture model, dermatological images, 
psoriasis",
    pages        = "30",
    number       = "",
    series       = "IMM-Technical Report-2003-8",
    institution  = "Informatics and Mathematical Modelling, Technical University of Denmark, {DTU}",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby",
    type         = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/2390-full.html",
    abstract     = "The objective of this work is to explore the feasibility of quantifying textural change between pairs of segmented patterns without registering them. The Multi-variate Alteration Detection (M.A.D.) Transform is applied to a texture model constructed with the data of segmented psoriasis lesions images. The texture model is Haralick's co-occurrence matrix, which is computed and normalized for each single band with the equalized data of a given lesion. The contribution of each single color band to the textural change is analyzed."
}