PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
D'Acunto M., Righi M., Salvetti O. A new method combining enhanced resolution and pattern identification. In: Signal, Image and Video Processing, vol. 10 (7) pp. 1303 - 1310. Springer, 2016. [Online First 29 July 2016]
 
 
Abstract
(English)
We present a simple and general-purpose method able to combine high-resolution procedure with the classification and identification of objects of interest from microscopy imaging. The method is composed of two stages. First (pattern recognition), promising components (possible objects of interest) in the image are detected and small regions containing the objects of interest are extracted using a feature finder. Second, high-resolution algorithms are applied to such identified components in order to approach a multiple scales of resolution. Although the method is indeed to be applied to any microscopy technique, in this paper, we have focused the attention on biological systems, like animal cells, recorded with an atomic force microscopy.
URL: http://link.springer.com/article/10.1007%2Fs11760-016-0947-9
DOI: 10.1007/s11760-016-0947-9
Subject Enhanced resolution
Pattern identification
Segmentation
Microscopy
I.5 PATTERN RECOGNITION
I.5.4 PATTERN RECOGNITION. Applications
I.4 IMAGE PROCESSING AND COMPUTER VISION


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