A new method combining enhanced resolution and pattern identification. Issue 7 (October 2016)

• Record Type: Journal Article
• Authors: D'Acunto, Mario; Righi, Marco; Salvetti, Ovidio
• Is Part Of: Signal, image and video processing. Volume 10:Issue 7(2016)
• Page Start: 1303
• Page End: 1310
• Publication Date: 2016-10
• Subjects: Enhanced resolution -- Pattern identification -- Segmentation -- Microscopy; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0947-9
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract 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.