ENGLISH

Group Theoretical Methods in Image Processing

By Reiner Lenz (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1990
ISBN
3540522905, 9783540522904
DOI
10.1007/3-540-52290-5
Open Library ID
OL9310724M
Language
english
Format
DJVU
Filesize
1 MB (1325366 bytes)
Series
Lecture Notes in Computer Science 413
Edition
1
Pages
142\140
Library
Kolxo3
DPI
300
Time added
2011-07-22 07:35:22
Pattern Recognition; Image Processing and Computer

Description

In this volume the author gives an introduction to the theory of group representations and their applications in image science. The main feature of the presentation is a systematic treatment of the invariance principle in image processing and pattern recognition with the help of group theoretical methods. The invariance properties of a problem often largely define the solution to the problem. Invariance principles are well known in theoretical physics but their use in image processing is only a few years old. The reader will find that group theory provides a unifying framework for many problems in image science. The volume is based on graduate-level lectures given by the author, and the book is intended for students and researchers interested in theoretical aspects of computer vision.

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