1 research outputs found
An Alternative Approach for Pattern Detection Applied to Materials Characterization
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