Mathematical Morphology and Its Applications to Image and Signal Processing (Hardcover, 1996 ed.)

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

Imprint:	Springer
Country of origin:	Netherlands
Series:	Computational Imaging and Vision, 5
Release date:	May 1996
First published:	1996
Editors:	Petros Maragos • Ronald W. Schafer • Muhammad Akmal Butt
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Hardcover
Pages:	476
Edition:	1996 ed.
ISBN-13:	978-0-7923-9733-5
Categories:	Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	0-7923-9733-9
Barcode:	9780792397335

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