Obtaining genericity for image processing and pattern recognition algorithms

Authors

Thierry Géraud, Yoann Fabre, Alexandre Duret-Lutz, Dimitri Papadopoulos-Orfanos, Jean-François Mangin

Where

Proceedings of the 15th International Conference on Pattern Recognition (ICPR)

Place

Barcelona, Spain

Type

inproceedings

Publisher

IEEE Computer Society

Projects

Olena

Date

2000-09-01

Abstract

Algorithm libraries dedicated to image processing and pattern recognition are not reusable; to run an algorithm on particular data, one usually has either to rewrite the algorithm or to manually ``copy, paste, and modify. This is due to the lack of genericity of the programming paradigm used to implement the libraries. In this paperwe present a recent paradigm that allows algorithms to be written once and for all and to accept input of various types. Moreover, this total reusability can be obtained with a very comprehensive writing and without significant cost at execution, compared to a dedicated algorithm. This new paradigm is called ``generic programming and is fully supported by the C++ language. We show how this paradigm can be applied to image processing and pattern recognition routines. The perspective of our work is the creation of a generic library.

Bibtex (lrde.bib)

@InProceedings{	  geraud.00.icpr,
  author	= {Thierry G\'eraud and Yoann Fabre and Alexandre Duret-Lutz
		  and Dimitri Papadopoulos-Orfanos and Jean-Fran\c{c}ois
		  Mangin},
  title		= {Obtaining genericity for image processing and pattern
		  recognition algorithms},
  booktitle	= {Proceedings of the 15th International Conference on
		  Pattern Recognition (ICPR)},
  year		= 2000,
  month		= sep,
  address	= {Barcelona, Spain},
  volume	= 4,
  pages		= {816--819},
  publisher	= {IEEE Computer Society},
  project	= {Olena},
  abstract	= {Algorithm libraries dedicated to image processing and
		  pattern recognition are not reusable; to run an algorithm
		  on particular data, one usually has either to rewrite the
		  algorithm or to manually ``copy, paste, and modify''. This
		  is due to the lack of genericity of the programming
		  paradigm used to implement the libraries. In this paper, we
		  present a recent paradigm that allows algorithms to be
		  written once and for all and to accept input of various
		  types. Moreover, this total reusability can be obtained
		  with a very comprehensive writing and without significant
		  cost at execution, compared to a dedicated algorithm. This
		  new paradigm is called ``generic programming'' and is fully
		  supported by the C++ language. We show how this paradigm
		  can be applied to image processing and pattern recognition
		  routines. The perspective of our work is the creation of a
		  generic library.}
}