THE USE OF MORPHOLOGICAL FILTERS AND GRANULOMETRIC METHOD TO ANALYZE THE MOVEMENT OF THE MOLECULES IN THE SEA WATER OF THE SOUTHERN BALTIC SEA - Publication - Bridge of Knowledge

Search

THE USE OF MORPHOLOGICAL FILTERS AND GRANULOMETRIC METHOD TO ANALYZE THE MOVEMENT OF THE MOLECULES IN THE SEA WATER OF THE SOUTHERN BALTIC SEA

Abstract

Modern granulometry opens a new way of analysing images by means of morphological filters. In this paper a closer look has been presented on the problem of interpreting information about the features and conditions of marine environment from images taken at the sea coast and shallow water. Using this method allows for example selection of the objects on the image according to the differences in shape. Processes occurring in the shallow water, especially in the vicinity of the coast, influences the entire environment thus they play very important role. For example sea surface currents depends on them. By means of the mentioned above method author s would like to investigate this phenomenon. The use of mathematical transformations in terms of grain size morphological parameters such as size distribution and density of grain size range of the particles in the medium can be calculated. The results of such research may play important role in the field of SAR (Search and Rescue).

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
15th International Multidisciplinary Scientific Geoconference (SGEM) strony 1195 - 1202
ISSN:
1314-2704
Language:
English
Publication year:
2015
Bibliographic description:
Szulwic J., , , .: THE USE OF MORPHOLOGICAL FILTERS AND GRANULOMETRIC METHOD TO ANALYZE THE MOVEMENT OF THE MOLECULES IN THE SEA WATER OF THE SOUTHERN BALTIC SEA, W: 15th International Multidisciplinary Scientific Geoconference (SGEM), 2015, STEF92 TECHNOLOGY LTD, 1 ANDREY LYAPCHEV BLVD,.
DOI:
Digital Object Identifier (open in new tab) 10.5593/sgem2015/b21/s10.152
Verified by:
Gdańsk University of Technology

seen 97 times

Recommended for you

Meta Tags