MULTI-CLASS SEGMENTATION OF HETEROGENEOUS AREAS IN BIOMEDICAL AND ENVIRONMENTAL IMAGES BASED ON THE ASSESSMENT OF LOCAL EDGE DENSITY

Imaging techniques employed in biomedical and ecological applications typically require complex equipment and experimental approaches, including sophisticated multispectral cameras, as well as physical markup of samples, altogether limiting their broad availability. Accordingly, computerized methods...

Full description

Bibliographic Details

Published in:	International archives of the photogrammetry, remote sensing and spatial information sciences. Vol. XLVIII-2/W3-2023; pp. 233 - 238
Main Authors:	Sinitca, A. M., Lyanova, A. I., Kaplun, D. I., Zelenikhin, P. V., Imaev, R. G., Gafurov, A. M., Usmanov, B. M., Tishin, D. V., Kayumov, A. R., Bogachev, M. I.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 12.05.2023 Copernicus Publications
Subjects:	Adaptive algorithms Algorithms Archives & records Chlorophyll Deep learning Density Detection Edge detection Environmental science Image segmentation Imaging techniques Remote sensing Vegetation
ISSN:	2194-9034, 1682-1750, 2194-9034
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!