Image Mathematics and Image Processing

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Despite the many successes of digital processing in domains as far apart as space science, robotics, forensics, and microscopy, many fundamental problems remain unsolved or imperfectly understood. Much of the work described in this volume has not been previously surveyed systematically, therefore, these accounts may form an indispensible addition to the image processing literature. This book sets out to survey systematically image related topics such as vector quantization, lattice transforms, invariant pattern representations, topology, algebra and estimation theory and echographic imaging.

Author(s): Peter W. Hawkes (Eds.)
Series: Advances in Electronics and Electron Physics 84
Publisher: Elsevier, Academic Press
Year: 1992

Language: English
Pages: ii-xi, 1-359

Content:
Editor-in-Chief
Page ii

Edited by
Page iii

Copyright page
Page iv

Contributors
Page viii

Preface
Pages ix-xi

Residual Vector Quantizers with Jointly Optimized Code Books Original Research Article
Pages 1-59
Christopher F. Barnes, Richard L. Frost

Foundation and Applications of Lattice Transforms in Image Processing Original Research Article
Pages 61-130
Jennifer L. Davidson

Invariant Pattern Representations and Lie Groups Theory Original Research Article
Pages 131-195
Mario Ferraro

Finite Topology and Image Analysis Original Research Article
Pages 197-259
V.A. Kovalevsky

The Intertwining of Abstract Algebra and Structured Estimation Theory Original Research Article
Pages 261-316
Salvatore D. Morgera

Echographic Image Processing Original Research Article
Pages 317-349
J.M. Thijssen

Index
Pages 351-359