Title :
A hybrid intelligent-classical approach for the segmentation of digital images of burned patients
Author :
Alonso-Betanzos, A. ; Arcay, B. ; Fernandez-Carreiras, D.
Author_Institution :
Dept. of Comput. Sci., Univ. of Coruna, Spain
fDate :
31 Oct-3 Nov 1996
Abstract :
In this paper the design and implementation of an automatic system for the estimation of the extent of a patient´s burns is described. The system follows a hybrid approach, integrating classical image processing techniques (such as filtering, clustering, texture analysis, etc.) with methodologies of knowledge-based systems
Keywords :
image segmentation; image texture; medical expert systems; medical image processing; skin; burned patients; burns extent estimation; classical image processing techniques; clustering; digital images segmentation; filtering; hybrid intelligent-classical approach; knowledge-based systems methodologies; medical diagnostic imaging; texture analysis; Computer science; Digital images; Filtering; Histograms; Image analysis; Image processing; Image segmentation; Informatics; Knowledge based systems; Skin;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652705
