Provides the image analysis community with a sampling from the developments in the theoretical (deterministic and stochastic) and computational aspects of mathematical morphology and its applications to image and signal processing. This book consists of the papers presented at the ISMM'96. Editor(s): Maragos, Petros; Butt, Muhammad Akmal; Schafer, Ronald W. Series: Computational Imaging and Vision. Num Pages: 488 pages, black & white illustrations. BIC Classification: TTB; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 26. Weight in Grams: 863. . 1996. Hardback. . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Mathematical Morphology and its Applications to Image and Signal Processing
Publisher: Kluwer Academic Publishers
Publication Date: 1996
Language: English
ISBN 10: 0792397339
ISBN 13: 9780792397335
Binding: Hardcover
Condition: New

About this title

Synopsis

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

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