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Writing Reusable Digital Geometry Algorithms in a Generic Image Processing Framework

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 Added by Laurent Najman
 Publication date 2012
and research's language is English




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Digital Geometry software should reflect the generality of the underlying mathe- matics: mapping the latter to the former requires genericity. By designing generic solutions, one can effectively reuse digital geometry data structures and algorithms. We propose an image processing framework focused on the Generic Programming paradigm in which an algorithm on the paper can be turned into a single code, written once and usable with various input types. This approach enables users to design and implement new methods at a lower cost, try cross-domain experiments and help generalize results



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This paper presents a Matlab toolbox to perform basic image processing and visualization tasks, particularly designed for medical image processing. The functionalities available are similar to basic functions found in other non-Matlab widely used libraries such as the Insight Toolkit (ITK). The toolbox is entirely written in native Matlab code, but is fast and flexible. Main use cases for the toolbox are illustrated here, including image input/output, pre-processing, filtering, image registration and visualisation. Both the code and sample data are made publicly available and open source.
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