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Variational Methods in Image Segmentation - with seven image processing experiments (Paperback, Softcover reprint of the original 1st ed. 1995)
Loot Price: R1,531
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Variational Methods in Image Segmentation - with seven image processing experiments (Paperback, Softcover reprint of the original 1st ed. 1995)
Series: Progress in Nonlinear Differential Equations and Their Applications, 14
Expected to ship within 10 - 15 working days
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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")."
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