Mathematical Morphology and its Applications to Image and Signal Processing / Edition 1

Mathematical Morphology and its Applications to Image and Signal Processing / Edition 1

by Henk J.A.M. Heijmans
     
 

ISBN-10: 0792351339

ISBN-13: 9780792351337

Pub. Date: 05/31/1998

Publisher: Springer Netherlands

This book contains the proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing IV, held June 3-5, 1998, in Amsterdam, The Netherlands. The purpose of the work is to provide the image analysis community with a sampling of recent developments in theoretical and practical aspects of mathematical

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Overview

This book contains the proceedings of the International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing IV, held June 3-5, 1998, in Amsterdam, The Netherlands. The purpose of the work is to provide the image analysis community with a sampling of recent developments in theoretical and practical aspects of mathematical morphology and its applications to image and signal processing.
Among the areas covered are: digitization and connectivity, skeletonization, multivariate morphology, morphological segmentation, color image processing, filter design, gray-scale morphology, fuzzy morphology, decomposition of morphological operators, random sets and statistical inference, differential morphology and scale-space, morphological algorithms and applications.
Audience: This volume will be of interest to research mathematicians and computer scientists whose work involves mathematical morphology, image and signal processing.

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Product Details

ISBN-13:
9780792351337
Publisher:
Springer Netherlands
Publication date:
05/31/1998
Series:
Computational Imaging and Vision Series, #12
Edition description:
1998
Pages:
442
Product dimensions:
1.06(w) x 9.21(h) x 6.14(d)

Table of Contents

Preface. Introduction. Theory. Topology and Geometry. Shape Analysis and Partial Differential Equations. Connected Operators. Segmentation. Random Models and Statistical Techniques. Algorithms. Applications. Author Index. Subject Index.

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