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Mathematical Morphology and Its Applications to Image and Signal Processing (Paperback, Softcover reprint of the original 1st ed. 1996)
Loot Price: R8,123
Discovery Miles 81 230
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Mathematical Morphology and Its Applications to Image and Signal Processing (Paperback, Softcover reprint of the original 1st ed. 1996)
Series: Computational Imaging and Vision, 5
Expected to ship within 10 - 15 working days
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Mathematical morphology (MM) is a powerful methodology for the
quantitative analysis of geometrical structures. It consists of a
broad and coherent collection of theoretical concepts, nonlinear
signal operators, and algorithms aiming at extracting, from images
or other geometrical objects, information related to their shape
and size. Its mathematical origins stem from set theory, lattice
algebra, and integral and stochastic geometry. MM was initiated in
the late 1960s by G. Matheron and J. Serra at the Fontainebleau
School of Mines in France. Originally it was applied to analyzing
images from geological or biological specimens. However, its rich
theoretical framework, algorithmic efficiency, easy
implementability on special hardware, and suitability for many
shape- oriented problems have propelled its widespread diffusion
and adoption by many academic and industry groups in many countries
as one among the dominant image analysis methodologies. The purpose
of Mathematical Morphology and its Applications to Image and Signal
Processing is to provide the image analysis community with a
sampling from the current developments in the theoretical
(deterministic and stochastic) and computational aspects of MM and
its applications to image and signal processing. The book consists
of the papers presented at the ISMM'96 grouped into the following
themes: Theory Connectivity Filtering Nonlinear System Related to
Morphology Algorithms/Architectures Granulometries, Texture
Segmentation Image Sequence Analysis Learning Document Analysis
Applications
General
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