Abstract
In this paper we present a multiscale 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.
Original language | English |
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Title of host publication | Proceedings of the 2003 International Conference on Image Processing (ICIP 2003) |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 329-332 |
Number of pages | 4 |
ISBN (Print) | 0-7803-7750-8 |
DOIs | |
Publication status | Published - 2003 |
Externally published | Yes |
Event | 10th IEEE International Conference on Image Processing (ICIP 2003) - Barcelona, Spain Duration: 14 Sep 2003 → 17 Sep 2003 Conference number: 10 |
Conference
Conference | 10th IEEE International Conference on Image Processing (ICIP 2003) |
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Abbreviated title | ICIP 2003 |
Country/Territory | Spain |
City | Barcelona |
Period | 14/09/03 → 17/09/03 |