Title: | An Alternative Approach for Pattern Detection Applied to Materials Characterization |
Authors: | Feitosa, Raul Queiroz Mota, Guilherme Paciornik, Sidnei |
Citation: | WSCG '2001: Conference proceedings: The 9-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2001: University of West Bohemia, Plzen, Czech Republic, February 5.-9., 2001, p. 71-78. |
Issue Date: | 2001 |
Publisher: | University of West Bohemia |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2001/Papers_2001/R357.pdf http://hdl.handle.net/11025/11253 |
ISBN: | 80-7082-713-0 |
ISSN: | 1213-6972 |
Keywords: | rozpoznávání vzorů;redukce dimezionality;charakterizace materiálů;elektronová mikroskopie |
Keywords in different language: | pattern recognition;dimensionality reduction;materials characterization;electron microscopy |
Abstract: | 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: | © University of West Bohemia |
Appears in Collections: | WSCG '2001: Conference proceedings |
Files in This Item:
File | Description | Size | Format | |
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Feitosa.pdf | Plný text | 687,64 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/11253
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