In the present work, a methodology for the analysis of subcellular morphology with chemical specificity for images from Stimulated Raman Scattering is suggested. In particular, a segmentation method based on a threshold algorithm and on a region growing process, to detect microstructures inside the cells, is proposed. Moreover, quantitative features for the segmented objects are extracted, in order to provide information about the possible morphological variations of microstructures in images acquired by means SRS technique.
Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy / Brancati, N; D'Arco, A; Ferrara, Ma; Indolfi, M; Tufano, V; Sirleto, L; Frucci, M. - 10228:(2017). (Intervento presentato al convegno 7th Nonlinear Optics and Applications Conference tenutosi a Prague, CZECH REPUBLIC) [10.1117/12.2266787].
Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy
D'Arco, A;
2017
Abstract
In the present work, a methodology for the analysis of subcellular morphology with chemical specificity for images from Stimulated Raman Scattering is suggested. In particular, a segmentation method based on a threshold algorithm and on a region growing process, to detect microstructures inside the cells, is proposed. Moreover, quantitative features for the segmented objects are extracted, in order to provide information about the possible morphological variations of microstructures in images acquired by means SRS technique.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
