Open Access
A framework for developing image processing algorithms with minimal overhead
Fabian Wenzel,Rolf-Rainer Grigat +1 more
- 17 Aug 2005
- pp 185-190
TL;DR: A framework for developing image processing algorithms that 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.
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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.
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Methods of Bitonal Image Conversion for Modern and Classic Documents
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References
•Book
Machine Vision Algorithms in Java: Techniques and Implementation
Paul F. Whelan,Derek Molloy +1 more
- 27 Oct 2000
TL;DR: A comprehensive introduction to the algorithms and techniques associated with machine vision systems and a wide range of illustrative examples, with a practical treatment of the subject matter.
78
Generative Programming
Barbara Barth,Gregory Butler,Krzysztof Czarnecki,Ulrich W. Eisenecker +3 more
- 18 Jun 2001
TL;DR: The results of a one-day workshop on Generative Programming (GP) at ECOOP'01 are described in this article, where the goal was to discuss the state-of-the-art of generative programming, share experience, consolidate successful techniques, discuss the relation of GP to object-oriented programming, and identify open issues for future work.