Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10344556 | Computer Methods and Programs in Biomedicine | 2013 | 15 Pages |
Abstract
For the two cases, identification of outliers and surrogate of average models is rather robust. However, deeper classification of morphological feature is subject to caution and can only be performed after cross analysis of at least two kinds of feature vectors. Finally, the Zernike moments contain all the information needed to re-construct the studied objects and thus appear as a promising tool to derive statistical organ shapes.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
D. Broggio, A. Moignier, K. Ben Brahim, A. Gardumi, N. Grandgirard, N. Pierrat, M. Chea, S. Derreumaux, A. Desbrée, G. Boisserie, B. Aubert, J.-J. Mazeron, D. Franck,