| Title: | An alternative approach for pattern detection applied to materials characterization |
| Authors: | Feitosa, Raul Queiroz Mota, Guilherme Paciornik, Sidnei |
| Citation: | Journal of WSCG. 2001, vol. 9, no. 1-3. |
| Issue Date: | 2001 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | článek article |
| URI: | http://hdl.handle.net/11025/15787 http://wscg.zcu.cz/wscg2001/WSCG2001_Program.htm |
| ISSN: | 1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (online) |
| Keywords: | rozpoznávání vzorů;snížení rozměrů;charakterizace materiálů |
| Keywords in different language: | pattern recognition;dimensionality reduction;materials characterization |
| Abstract in different language: | The problem of detecting specific patterns in images of materials obtained through High Resolution Transmission Electron Microscopy is addressed. A supervised classification method is proposed using an extension of Principal Component Analysis and a new a procedure for building the training set. Experiments on two different types of images indicate that the proposed method is superior to the conventional cross-correlation approach. Moreover, using the same number of components, the new dimensionality reduction approach shows a better performance than the standard PCA method. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | Volume 9, number 1-3 (2001) |
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