A framework for developing image processing algorithms with minimal overhead

Authors:
Fabian Wenzel;Rolf-Rainer Grigat
Affiliations:
Vision Systems Department, Hamburg University of Technology, Hamburg, Germany;Vision Systems Department, Hamburg University of Technology, Hamburg, Germany
Venue:
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
Year:
2005

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WSEAS Transactions on Computers

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Abstract

We introduce a framework for developing image processing algorithms. Its design is targeted at the needs of developers who should be able to focus on their specific tasks as much as possible instead of technical side-effects that arise in software development. After finding general requirements for being able to develop modular algorithms we outline the plug-in based architecture of our system and describe details that help developers and researchers implement new modules. Our cross-platform framework is written in C++ due to portability and performance. Even though it has been designed for developing image processing algorithms, the underlying techniques can be utilized in other signal processing fields as well.