Title :
Pattern recognition and image description by suitable textural information
Author :
AraÚjo, A. De A ; Claudino, L.M.B. ; Oliveira, R.A.R. ; Jamil, S.
Author_Institution :
Dept. de Ciencia da Comput., UFMG, Belo Horizonte, Brazil
Abstract :
One of the difficulties of pattern recognition is developing a good evaluation of the classes presented in a scene. To suitably describe those classes it is necessary to find feature spaces which allow them to be distinguished from each other. We propose an unsupervised segmentation/classification technique associated with textural description and report the results obtained, which are quite encouraging
Keywords :
image classification; image segmentation; image texture; feature spaces; image description; pattern recognition; textural information; unsupervised classification; unsupervised segmentation; Brightness; Data mining; Energy resolution; Feature extraction; Image resolution; Image segmentation; Layout; Neural networks; Pattern recognition; Silicon compounds;
Conference_Titel :
Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
Conference_Location :
Gramado
Print_ISBN :
0-7695-0878-2
DOI :
10.1109/SIBGRA.2000.895828
