Paper
1 September 1990 Rotation- and translation-invariant pattern recognition based on distance transformations
Juergen Moeschen, Bedrich J. Hosticka
Author Affiliations +
Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24183
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
Abstract
In this paper a statistical approach for pattern recognition, based on a distance transformation, will be presented. The algorism enables multiclass rotation- and translation invariant pattern recognition and can be made optionally scale invariant. Beside the theory of the algorithm we will present some practical application examples and propose a system architecture for a high speed hardware implementation including an ASIC architecture.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juergen Moeschen and Bedrich J. Hosticka "Rotation- and translation-invariant pattern recognition based on distance transformations", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24183
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Image processing

Binary data

Pattern recognition

Visual communications

Digital imaging

Quantization

Back to Top