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  • Computation of the perimeter of measurable sets via their covariogram : applications to random sets
    Galerne, Bruno
    The covariogram of a measurable set A C Rd is the function gA which to each y E Rd associates the Lebesgue measure of A (y + A). This paper proves two formulas. The first equates the directional ... derivatives at the origin of gA to the directional variations of A. The second equates the average directionalderivative at the origin of gA to the perimeter of A. These formulas, previously known with restrictions, are proved for any measurable set. As a by-product, it is proved that the covariogram of a set A is Lipschitz if and only if A has finite perimeter, the Lipschitz constant being half the maximal directional variation. The two formulas have counterparts formean covariogram of random sets. They also permit to compute the expected perimeter per unit volume of any stationary random closed set. As an illustration, the expected perimeter per unit volume of stationary Boolean models having any grain distribution is computed.
    Source: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 30, no. 1, mar. 2011, str. 39-51)
    Type of material - article, component part
    Publish date - 2011
    Language - english
    COBISS.SI-ID - 28384985

    Link(s):

    Digitalna knjižnica Slovenije - dLib.si

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