Group Theoretical Methods in Image Processing [electronic resource] / by Reiner Lenz.
Material type:
TextSeries: Lecture Notes in Computer Science ; 413Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1990Description: X, 142 p. online resourceContent type: - text
- computer
- online resource
- 9783540469476
- 006.4 23
- Q337.5
- TK7882.P3
E-BOOKS
| Home library | Call number | Materials specified | URL | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| IMSc Library | Link to resource | Available | EBK5937 |
Preliminaries -- Representations of groups -- Representations of somes matrix groups -- Fourier series on compact groups -- Applications.
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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