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  • 1
    UID:
    b3kat_BV010040380
    Format: XVI, 245 S. , Ill., graph. Darst.
    ISBN: 3764337206 , 0817637206
    Series Statement: Progress in nonlinear differential equations and their applications 14
    Note: Literaturverz. S. 215 - 237
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Bildsegmentierung ; Variationsrechnung ; Geometrische Maßtheorie
    URL: Cover
    Author information: Morel, Jean-Michel 1953-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    kobvindex_ZIB000003645
    Format: 245 S.
    ISBN: 3-7643-3720-6
    Series Statement: Progress in nonlinear differential equations and their applications 14
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    b3kat_BV042421061
    Format: 1 Online-Ressource (XVI, 248 p)
    ISBN: 9781468405675 , 9781468405699
    Series Statement: Progress in Nonlinear Differential Equations and Their Applications 14
    Note: This book contains both a synthesis and mathematical analysis of a wide set of algorithms and theories whose aim is the automatic segmen­ tation of digital images as well as the understanding of visual perception. A common formalism for these theories and algorithms is obtained in a variational form. Thank to this formalization, mathematical questions about the soundness of algorithms can be raised and answered. Perception theory has to deal with the complex interaction between regions and "edges" (or boundaries) in an image: in the variational seg­ mentation energies, "edge" terms compete with "region" terms in a way which is supposed to impose regularity on both regions and boundaries. This fact was an experimental guess in perception phenomenology and computer vision until it was proposed as a mathematical conjecture by Mumford and Shah. The third part of the book presents a unified presentation of the evi­ dences in favour of the conjecture. It is proved that the competition of one-dimensional and two-dimensional energy terms in a variational for­ mulation cannot create fractal-like behaviour for the edges. The proof of regularity for the edges of a segmentation constantly involves con­ cepts from geometric measure theory, which proves to be central in im­ age processing theory. The second part of the book provides a fast and self-contained presentation of the classical theory of rectifiable sets (the "edges") and unrectifiable sets ("fractals")
    Language: English
    Keywords: Bildsegmentierung ; Variationsrechnung ; Geometrische Maßtheorie
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