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
URI: http://wscg.zcu.cz/wscg2001/Papers_2001/R357.pdf
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

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