Amazon cover image
Image from Amazon.com

Group theoretical methods in image processing / Reiner Lenz.

By: Material type: TextTextSeries: Lecture notes in computer science ; 413.Publisher: Berlin ; New York : Springer-Verlag, ©1990Description: 1 online resource (viii, 138 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540469476
  • 3540469478
Subject(s): Additional physical formats: Print version:: No titleDDC classification:
  • 621.36/7 20
LOC classification:
  • TA1632 .L46 1990
Other classification:
  • 54.74
Online resources:
Contents:
Preliminaries -- Representations of groups -- Representations of somes matrix groups -- Fourier series on compact groups -- Applications.
Action note:
  • digitized 2010 HathiTrust Digital Library committed to preserve
Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

"Based on a series of lectures [given] at the Linköping University Department of Electrical Engineering in 1988"--Foreword

Includes bibliographical references (pages 129-132) and index.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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.

Print version record.

Preliminaries -- Representations of groups -- Representations of somes matrix groups -- Fourier series on compact groups -- Applications.

Powered by Koha