SciELO - Scientific Electronic Library Online

vol.30 issue1The effect of frying conditions on moisture loss and oil uptake in yam slices (Dioscorea alata)Patrones arquitectónicos sobre usabilidad en el dominio de las aplicaciones web author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand



Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google


Ingeniería e Investigación

Print version ISSN 0120-5609


CAICEDO CAICEDO, Julio César  and  PEREZ CASTILLO, José Nelson. An intelligent web service for classifying digital imagery by using rough sets . Ing. Investig. [online]. 2010, vol.30, n.1, pp.45-51. ISSN 0120-5609.

Integrating recent developments in service-orientated computing, Web technologies and computational intelligence has facilitated the development of applications for solving complex problems in several fields of scientific and technological research. Rough sets theory provides a solid theoretical background within the computational intelligence (CI) field for the qualitative reasoning re-quired for analysing datasets loaded with uncertainties due to the vagueness and lack of precision associated with them. This paper describes the development of an intelligent Web service to process digital imagery, demonstrating the benefits of rough sets theory in dealing with the flexible supervised classification of the pixels associated with them.

Keywords : rough sets; indiscernibility; lower approximation; upper approximation; decision system; Web service; digital image.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License