SciELO - Scientific Electronic Library Online

 
 issue61Improvement of micro-hardness and electrochemical properties of Al-4%Cu-0.5%Mg alloy by Ag additionSeparation of base flow in upper part of the Lebrija river basin author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

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

Share


Revista Facultad de Ingeniería Universidad de Antioquia

Print version ISSN 0120-6230On-line version ISSN 2422-2844

Abstract

LOPEZ YANEZ, Itzamá; FLORES CARAPIA, Rolando; YANEZ MARQUEZ, Cornelio  and  CAMACHO NIETO, Oscar. Automatic detection of cranial fractures in radiological images using a pattern classifier. Rev.fac.ing.univ. Antioquia [online]. 2011, n.61, pp.29-40. ISSN 0120-6230.

In this work, an automatic pattern classification system is presented, whose goal is detecting the presence or absence of fractures in cranial radiographic images. The basis for the proposal is an original coding technique, coupled with an emerging pattern classifier: the Gamma classifier. This proposal draws concepts from three areas of current scientific research: Mathematical Morphology, image histograms, and Alpha-Beta associative models. Also, an experimental study is presented, comparing the performance shown by the system to that exhibited by other pattern classifiers present in current scientific literature. The results obtained are competitive, reaching 94.23% of correct classification.

Keywords : Cranial fractures; radiographic images; pattern classification; alpha-beta associative models.

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

 

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