Morphological hat-transform scale spaces and their use in texture classification

OnderzoeksoutputAcademicpeer review

6 Citaten (Scopus)
312 Downloads (Pure)

Samenvatting

In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two scale-space representations are built. The most important features are extracted from the scale spaces by unsupervised cluster analysis, and the resulting pattern vectors provide the input of a decision tree classifier. We obtain 93.5 % correct classification for the Brodatz texture database.
Originele taal-2English
Titel2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS
Plaats van productieNEW YORK
UitgeverijUniversity of Groningen, Johann Bernoulli Institute for Mathematics and Computer Science
Pagina's329-332
Aantal pagina's4
ISBN van geprinte versie0-7803-7750-8
StatusPublished - 2003
EvenementIEEE International Conference on Image Processing - , Spain
Duur: 14-sep.-200317-sep.-2003

Publicatie series

NaamIEEE International Conference on Image Processing (ICIP)
UitgeverijIEEE
ISSN van geprinte versie1522-4880

Other

OtherIEEE International Conference on Image Processing
Land/RegioSpain
Periode14/09/200317/09/2003

Vingerafdruk

Duik in de onderzoeksthema's van 'Morphological hat-transform scale spaces and their use in texture classification'. Samen vormen ze een unieke vingerafdruk.

Citeer dit